Sketch Software Jobs in Morocco

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Summary The Senior Embedded Software Engineer will lead the development of advanced embedded software solutions, driving technical decisions and mentoring team members. This role requires extensive experience in embedded systems, software architecture, and modern C++ development within complex environments. Key Responsibilities Lead the design and implementation of embedded software architectures and solutions. Develop high-quality software using modern C++ (C++17 or above). Define and promote software engineering best practices and coding standards. Drive testing strategies using Google Test (GTest) and automated validation methodologies. Support and guide CI/CD adoption and continuous improvement initiatives. Mentor junior and mid-level engineers. Perform technical reviews, root cause analysis, and performance optimization. Collaborate with global stakeholders and contribute to strategic technical decisions. Ensure delivery of reliable, scalable, and maintainable software products.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Mandatory Requirements</b></p><p>Bachelor's or Master's degree in Computer Science, Electronics, Telecommunications, or a related field. Extensive experience in embedded software development for microcontroller-based systems. Advanced expertise in modern C++ (preferably C++17 or higher). Strong experience with Google Test (GTest). Experience working with CI/CD environments and software delivery practices. Fluent English communication skills.</p><b>Nice-to-Have Skills</b><p>Strong RTOS experience, preferably Zephyr (highly valued). Deep knowledge of C programming and embedded optimization techniques. Experience with performance tuning, memory optimization, and real-time systems. Spanish language skills.</p><b>Soft Skills</b><p>Strong leadership and mentoring capabilities. Excellent collaboration and stakeholder management skills. Highly autonomous with a proactive mindset. Ability to challenge requirements and propose innovative solutions when appropriate. Strong ownership and results-oriented attitude. Excellent analytical and decision-making skills.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>MTA is looking for a Software Engineer to join the R&amp;D team. Key responsibilities: Analyse customer specifications and derive software requirements. Develop and maintain low level embedded software (firmware, board support packages, device drivers, bootloaders) in C/C++ for ECUs and domain controllers. Design, develop and test customer applications Work on AUTOSAR BSW/MCAL or equivalent platform layers, including driver integration and configuration. Debug and troubleshoot at board and system level using JTAG/SWD, debuggers, trace tools, oscilloscopes, and logic analyzers; perform root cause analysis for timing, and memory issues. Write and execute unit and integration tests, produce test reports Follow coding standards and participate in code reviews Collaborate with teams from other departments to meet customer expectations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Requirements:</strong> Master/Engineer degree in Electrical and computer science engineering or related field. 3+ years of embedded software development, preferably in automotive or aerospace industry. Strong proficiency in embedded C and experience with bare metal and RTOS environments. Experience with microcontrollers, PPC/ARM architectures, peripherals, interrupts, DMA, and IC communication protocols I2C/SPI/UART. Practical experience with CAN/LIN/Ethernet networks and KWP2000/UDS/J1939 diagnostic protocols stacks and related tooling. Experience with AUTOSAR Classic (BSW/MCAL) or equivalent low level platform frameworks. Knowledge of ASPICE, MISRA C, and ISO26262 standards. Comfortable with cross compilers, linkers, JTAG/SWD, hardware debuggers, static analysis, and unit test frameworks. Familiar with version control (Git/Svn), and requirements management tools.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>Within the project, your main tasks will include: </p><br><br><ul><li>Integrate software components into an existing AUTOSAR Adaptive system platform. </li><li>Understand and verify CI/CD pipeline workflows. </li><li>Collaborate with development teams to ensure seamless integration of new features and functionalities. </li><li>Analyze and troubleshoot integration issues, providing timely resolutions. </li><li>Manage time effectively to meet project deadlines and deliver high-quality results. </li><li>Contribute ideas for continuous improvement within the scope of influence. </li><li>Work closely with stakeholders to support requirements and adapt to changing project environments. </li><li>Maintain documentation for integration processes and system configurations. </li><li>Support release processes by integrating software elements into a single release package. </li><li>Analyze new technologies (software stacks, configurators), assess impact on integration requirements, and prepare feasibility studies or proof of concepts. </li><li>Demonstrate willingness to learn new technologies. </li></ul> <br> Required profile : <ul><li>Master's degree (BAC+5) from an engineering school or university specializing in embedded systems.</li><li>1 to 3 years of experience in the field of Software integration.</li><li>Experience with software development for embedded systems/microcontrollers. </li><li>Knowledge of system and software engineering standards (e.g., IEEE 12207, ASPICE/VDA QMC). </li><li>Experience with system configuration and software integration. </li><li>CI/CD, flashing/debugging (Trace32). </li><li>Programming: C, C++, Python </li><li>Tools: GitHub, Make/CMake, CANoe, Autosar tooling (e.g., System Desk). </li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong >Key Responsibilities</strong></p><p>Platform Software Development: Lead multiple platform teams to standardize middleware patterns and client libraries used by several consumer teams. Establish group-level guardrails for APIs/SDKs, deprecation strategies, and upgrade playbooks; track adoption and risk. Sponsor shared observability frameworks and capacity models across teams; review error-budget posture and corrective actions.</p><p>Software Development and Coding - Design, Testing, and Optimization: Leads teams and provides technical recommendations and guidance in designing software solutions and identifying, analyzing and ensuring alignment with requirements. Manages the execution of processes to develop and guide new software features and enhancements following design specifications, ensuring accessibility, and to develop documents to clarify software design and code. Leads code and/or functional reviews to drive improvements across a project. Leads and reviews teams to conduct debugging and troubleshooting to identify and fix software issues across multiple components or functional areas. Provides teams guidance to implement software testing (e.g., functional and non-functional), quality assurance processes, software error logging, monitoring, and observability for effective debugging. Utilizes an analytic approach to conduct performance profiling and optimization of coding. Leads teams in troubleshooting and resolving issues related to application programming interface (API) functionality and integration. Leads teams to implement API versioning, lifecycle, and interoperability strategies.</p><p>Software Architecture - Software System Structural Design: Leads teams to design and develop software, systems, and services. Acts as a role model to provide technical guidance and domain expertise in software architecture decisions and best practices. Leads teams to conduct periodic reviews and ensures adherence to architectural framework(s) and internal development practices and standards. Collaborates with cross-functional teams to align and build software architecture with business and/or customer goals and priorities in focus. Leads teams to implement performance optimization and scalability strategies in software design. Impacts teams to conduct regular technology research and evaluation for architectural enhancements.</p><p>Issue/Defect Collaboration - Software Products Support: Collaborates with stakeholders and external clients and/or partners to understand customer issues and align solutions. Leads team(s) to provide technical guidance and appropriately prioritize support to customers regarding reported issues. Acts as a role model for teams to advocate for customers' interests and suggests product enhancements based on feedback. Develops, modifies, and executes policies to ensure customer satisfaction through timely resolution of issues and effective communication. Leads teams through processes for handling customer issues and/or defects handling and directs them to training opportunities as needed. Manages the investigation and troubleshooting of complex product maintenance issues to ensure customer agreement on short- and long-term solutions.</p><p>Practices and Standards Compliance - Security and Compliance: Collaborates with teams and other stakeholders within and outside of group to establish, follow, and enforce documented security criteria, development industry best practices and processes, and coding standards. Ensures clarity of teams' operational objectives for adherence to broad acceptance criteria. Implements moderately complex secure software development practices requiring information gathering and analysis to prevent security vulnerabilities.</p><p>Development Operations - System Maintenance: Leads teams in performing periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Delegates assignments to teams to implement and evolve standard operating procedures (SOP) for development and for driving improvements, ensuring automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability.</p><p>Core Responsibilities</p><p>Planning &amp; Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets when applicable are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes.</p><p>Collaboration &amp; Partnership: Drives cross-functional partnerships to align expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.</p><p>Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues as well as providing guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping the team to identify potential solutions.</p><p>Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams, and empowers team members to pursue learning and knowledge sharing opportunities that build their expertise in new areas and coaches them to apply learnings to advance the organization.</p><p>Continuous Improvement: Drives team to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides team to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement.</p><p>Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing EMAIL_ADDRESS or by calling PHONE_NUMBER in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc. <p>Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.</p> <p>True innovation starts when everyone is empowered to contribute. That s why we re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.</p> <p>We re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <u> accommodation-request_mb@oracle.com </u> or by calling 1-888-404-2494 in the United States.</p> <p>Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</p> <p>Career Level - M3</p> As a manager of the software engineering division, you will apply your knowledge of software architecture to manage software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to provided design specifications. Build enhancements within an existing software architecture and suggest improvements to the architecture.</div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain embedded software unit testing for automotive ECUs Integrate software components into ECU platforms and ensure compatibility with hardware and vehicle network constraints. Perform root cause analysis on software defects, communication issues, and ECU malfunctions. Use diagnostic tools such as CANoe, CANalyzer, UDS (ISO 14229), DoIP, OBD II , and vehicle logs to identify issues. Use flashing tool to Flash the SW in the ECUs Develop and validate UDS diagnostic services , DTCs (Diagnostic Trouble Codes), and fault memory strategies. Analyze communication traces (CAN, LIN, FlexRay, Ethernet) to detect anomalies or performance issues. Support integration tests on benches, HIL systems, and in-vehicle testing. Ensure compliance with automotive standards such as AUTOSAR , ISO 26262 (functional safety) , ASPICE , and cybersecurity principles. Create and maintain documentation (SRS, SDD, design reviews, traceability matrices). Collaborate with testing teams to define validation strategies and ensure robust test coverage.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Engineering degree (Master s level, Bac+5) in Embedded Systems, Electronics, or equivalent. Strong skills in technical coordination, planning, and risk management. Excellent communication skills and strong team spirit. Professional level of English required. Proficiency in embedded C/C++ programming and real time systems. Strong knowledge of in vehicle communication protocols (CAN, LIN, FlexRay, Ethernet). Experience with diagnostic standards and tools: UDS (ISO 14229), ISO 15765, OBD II Vector tools (CANalyzer, CANoe, CANape) Ability to interpret logs, traces, and memory dumps for precise diagnostic analysis. Familiarity with AUTOSAR stacks (Classic or Adaptive). Experience with development processes following ASPICE or V Model.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain embedded software unit testing for automotive ECUs Integrate software components into ECU platforms and ensure compatibility with hardware and vehicle network constraints. Perform root cause analysis on software defects, communication issues, and ECU malfunctions. Use diagnostic tools such as CANoe, CANalyzer, UDS (ISO 14229), DoIP, OBD II , and vehicle logs to identify issues. Use flashing tool to Flash the SW in the ECUs Develop and validate UDS diagnostic services , DTCs (Diagnostic Trouble Codes), and fault memory strategies. Analyze communication traces (CAN, LIN, FlexRay, Ethernet) to detect anomalies or performance issues. Support integration tests on benches, HIL systems, and in-vehicle testing. Ensure compliance with automotive standards such as AUTOSAR , ISO 26262 (functional safety) , ASPICE , and cybersecurity principles. Create and maintain documentation (SRS, SDD, design reviews, traceability matrices). Collaborate with testing teams to define validation strategies and ensure robust test coverage.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Master s degree in Embedded Systems, Electronics Engineering, or a related field. Minimum 2 years of experience in Model-Based Development (MBD) . Strong expertise in technical coordination, project planning, and risk management . Excellent interpersonal and communication skills, with a collaborative and team-oriented mindset. Professional proficiency in English, both written and spoken. Solid experience in embedded software development using C/C++ , including real-time systems. Strong knowledge of automotive communication protocols , including CAN, LIN, FlexRay, and Automotive Ethernet. Hands-on experience with vehicle diagnostics standards and tools , including:</p><ul><li>UDS (ISO 14229)</li><li>ISO 15765</li><li>OBD-II</li><li>Vector tool suite (CANalyzer, CANoe, CANape)</li></ul><p>Proven ability to analyze and interpret logs, communication traces, and memory dumps for advanced diagnostic and troubleshooting activities. Good understanding of AUTOSAR architectures (Classic and/or Adaptive Platform). Experience working within ASPICE-compliant development environments and/or according to the V-Model development lifecycle.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Capgemini</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong <strong>organizational dimension</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by a <strong>competitive component</strong> focused on performance and customer satisfaction, while a more moderate <strong>innovation dimension</strong> supports the continuous evolution of services and expertise. </p><br><br> <br> Job : <p>Within our project teams, you will be involved in the development and evolution of Full Stack <strong>Java / React</strong> business applications for major clients, in complex technical environments. As a Software Engineer, your main tasks will be:</p><br><br><ul><li>Design, develop, and maintain robust and scalable backend Java and frontend React applications.</li><li>Participate in the analysis of functional needs and the technical design of solutions.</li><li>Implement modern architectures (REST API, microservices...).</li><li>Ensure code quality through best development practices (clean code, testing, CI/CD).</li><li>Collaborate closely with multidisciplinary teams (QA, DevOps, architects, business stakeholders) in an Agile environment.</li><li>Participate in code reviews and contribute to the continuous improvement of application performance and quality.</li><li>Be proactive in technical choices and application evolutions.</li></ul> <br> Required profile : <ul><li>Graduate of a Bac+4/+5 in computer science or equivalent.</li><li>Confirmed experience of 5 years or more in Full Stack Java / React development.</li><li>Very good command of Java (Spring, Spring Boot) and React (Hooks, Redux or equivalent).</li><li>Good knowledge of modern web architectures (REST API, microservices) and relational databases.</li><li>Comfortable in an Agile environment.</li><li>Autonomy, rigor, analytical skills, and team spirit.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Leads one or more platform teams; defines tactical and key strategic elements for middleware evolution serving multiple consumers. Accountable for performance, cost control, and reliability outcomes; escalations for distributed debugging and upgrade safety. Drives significant cross-team improvements to observability, SLOs, and resilience patterns. Engages stakeholders inside and outside the group; socializes migration plans and adoption playbooks.<br><p>Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.</p><br><p>True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.</p><br><p>We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <u>accommodation-request_mb@oracle.com</u> or by calling 1-888-404-2494 in the United States.</p><br><p>Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</p><br><br>Responsibilities:<br><p><strong>Key Responsibilities</strong></p><br><p><strong>Platform Software Development:</strong></p><br><ul><li><p>Lead multiple platform teams to standardize middleware patterns and client libraries used by several consumer teams.</p><br></li><li><p>Establish group-level guardrails for APIs/SDKs, deprecation strategies, and upgrade playbooks; track adoption and risk.</p><br></li><li><p>Sponsor shared observability frameworks and capacity models across teams; review error-budget posture and corrective actions.</p><br></li></ul><p><strong>Software Development and Coding - Design, Testing, and Optimization:</strong></p><br><ul><li><p>Leads teams and provides technical recommendations and guidance in designing software solutions and identifying, analyzing and ensuring alignment with requirements.</p><br></li><li><p>Manages the execution of processes to develop and guide new software features and enhancements following design specifications, ensuring accessibility, and to develop documents to clarify software design and code.</p><br></li><li><p>Leads code and/or functional reviews to drive improvements across a project.</p><br></li><li><p>Leads and reviews teams to conduct debugging and troubleshooting to identify and fix software issues across multiple components or functional areas.</p><br></li><li><p>Provides teams guidance to implement software testing (e.g., functional and non-functional), quality assurance processes, software error logging, monitoring, and observability for effective debugging.</p><br></li><li><p>Utilizes an analytic approach to conduct performance profiling and optimization of coding.</p><br></li><li><p>Leads teams in troubleshooting and resolving issues related to application programming interface (API) functionality and integration.</p><br></li><li><p>Leads teams to implement API versioning, lifecycle, and interoperability strategies.</p><br></li></ul><p><strong>Software Architecture - Software System Structural Design:</strong></p><br><ul><li><p>Leads teams to design and develop software, systems, and services.</p><br></li><li><p>Acts as a role model to provide technical guidance and domain expertise in software architecture decisions and best practices.</p><br></li><li><p>Leads teams to conduct periodic reviews and ensures adherence to architectural framework(s) and internal development practices and standards.</p><br></li><li><p>Collaborates with cross-functional teams to align and build software architecture with business and/or customer goals and priorities in focus.</p><br></li><li><p>Leads teams to implement performance optimization and scalability strategies in software design.</p><br></li><li><p>Impacts teams to conduct regular technology research and evaluation for architectural enhancements.</p><br></li></ul><p><strong>Issue/Defect Collaboration - Software Products Support:</strong></p><br><ul><li><p>Collaborates with stakeholders and external clients and/or partners to understand customer issues and align solutions.</p><br></li><li><p>Leads team(s) to provide technical guidance and appropriately prioritize support to customers regarding reported issues.</p><br></li><li><p>Acts as a role model for teams to advocate for customers' interests and suggests product enhancements based on feedback.</p><br></li><li><p>Develops, modifies, and executes policies to ensure customer satisfaction through timely resolution of issues and effective communication.</p><br></li><li><p>Leads teams through processes for handling customer issues and/or defects handling and directs them to training opportunities as needed.</p><br></li><li><p>Manages the investigation and troubleshooting of complex product maintenance issues to ensure customer agreement on short- and long-term solutions.</p><br></li></ul><p><strong>Practices and Standards Compliance - Security and Compliance:</strong></p><br><ul><li><p>Collaborates with teams and other stakeholders within and outside of group to establish, follow, and enforce documented security criteria, development industry best practices and processes, and coding standards.</p><br></li><li><p>Ensures clarity of teams' operational objectives for adherence to broad acceptance criteria.</p><br></li><li><p>Implements moderately complex secure software development practices requiring information gathering and analysis to prevent security vulnerabilities.</p><br></li></ul><p><strong>Development Operations - System Maintenance:</strong></p><br><ul><li><p>Leads teams in performing periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities).</p><br></li><li><p>Delegates assignments to teams to implement and evolve standard operating procedures (SOP) for development and for driving improvements, ensuring automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability.</p><br></li></ul><p><strong>Core Responsibilities</strong></p><br><p><strong>Planning &amp; Execution:</strong></p><br><ul><li><p>Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets when applicable are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes.</p><br></li></ul><p><strong>Collaboration &amp; Partnership:</strong></p><br><ul><li><p>Drives cross-functional partnerships to align expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.</p><br></li></ul><p><strong>Problem Solving:</strong></p><br><ul><li><p>Provides direction to multiple teams on addressing complex operational and/or technical issues as well as providing guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping the team to identify potential solutions.</p><br></li></ul><p><strong>Continuous Learning:</strong></p><br><ul><li><p>Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams, and empowers team members to pursue learning and knowledge sharing opportunities that build their expertise in new areas and coaches them to apply learnings to advance the organization.</p><br></li></ul><p><strong>Continuous Improvement:</strong></p><br><ul><li><p>Drives team to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides team to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement.</p><br></li></ul><p><strong>Performance and Development:</strong></p><br><ul><li><p>Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources.</p><br></li></ul><br>Qualifications:<br><p>Career Level - M3</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? Become the AI &amp; Automation Rockstar at Infomineo! Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate? Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research &amp; Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele. Why Infomineo? Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics. Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success. Become an AI &amp; Automation Guru: We foster continuous learning. Expect to stay on top of the latest advancements and actively propose and implement improvements. Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents. Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions. Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude. You'll be encouraged to contribute your ideas and make a real difference in the company's growth. Does this sound like your dream role? Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems. Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing. Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments. Deep understanding of the software engineering fundamentals required to build frameworks for AI. Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines. Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments. Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments. Conceptual understanding of modern infrastructure ecosystems (e.g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team. Experience integrating complex third-party SaaS APIs. Ready to join the revolution? We offer: A competitive compensation and benefits package. The opportunity to make a real impact on a global scale. A dynamic and supportive work environment that values your contributions. Continuous learning and professional development opportunities to propel your career forward. Show us what you've got! Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience in backend development and distributed systems. Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing. Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments. Deep understanding of the software engineering fundamentals required to build frameworks for AI. Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines. Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments. Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments. Conceptual understanding of modern infrastructure ecosystems (e.g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team. Experience integrating complex third-party SaaS APIs.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br> <br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together skills in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab seeks to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>The projects are numerous and varied with short development deadlines and concrete implementations, for example:</p><br><br><ul><li>Information extraction from images and documents</li><li>Integration of open data and web scraping</li><li>Construction and exploitation of graph databases</li><li>Search engine specialized in company identification</li><li>Data valorization API for major international clients</li></ul><p><br>Training and technological watch on dedicated time, as well as knowledge sharing through presentations among team members, are part of the Data Lab's operating method.</p><br><br><p><strong>The missions:&nbsp;</strong></p><br><br><ul><li>You develop solutions deployed on our container infrastructures or in the cloud, and you implement production monitoring.</li><li>You participate in code reviews of other team members to share knowledge and ensure the quality of developments.</li><li>You propose technical solutions and participate in technological watch.</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent</li><li>Two years or more of experience in a similar role</li><li>Python application development with high-quality standards and the implementation of good practices for code reviews and continuous integration.</li><li>Use of SQL and NoSQL databases (MongoDB, Neo4j, ElasticSearch, Redis...)</li><li>Implementation of monitoring dashboards (Kibana, Grafana)</li><li>Autonomy, curiosity, teamwork, and knowledge sharing</li><li>Communication in English (projects in international contexts)</li></ul><p><br><strong>Appreciated skills:&nbsp;</strong></p><br><br><ul><li>Implementation of CI/CD chains and Docker/Kubernetes deployment</li><li>Design of high-availability application architectures</li><li>Skills in data science-oriented libraries (e.g. Pandas)</li><li>Knowledge of Linux administration</li><li>Deployment of applications in the cloud and infrastructure-as-code</li><li>Front-end programming (React or Angular or Vue.js...)</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>As part of this role, your main responsibilities will be:</strong></p><br><br><ul><li>Develop and maintain back-end services in .NET / C# used by large-scale business platforms</li><li>Design and implement reliable and secure REST APIs</li><li>Contribute to microservices architectures and distributed systems</li><li>Participate in the development of features supporting operational workflows</li><li>Ensure code quality, testability, and maintainability</li><li>Contribute to CI/CD pipelines and automated deployments</li><li>Work closely with Product Owners, DevOps, and business teams</li><li>Actively participate in Agile rituals and continuous improvement</li></ul> <br> <br> Required profile : <p><strong>Profile:</strong></p><br><br><ul><li>3 to 5 years of experience in software development</li><li>Knowledge of embedded systems and their constraints<br>(real-time, reliability, limited resources)</li><li>Understanding of vehicle -&gt; cloud data flows</li><li>Awareness of IT / embedded integration issues</li><li>Experience in an enterprise / cloud environment</li><li>Ability to work in international and multidisciplinary teams</li><li>Pragmatic and quality-oriented approach</li></ul><p><strong>Experience: 3 to 5</strong> years</p><br><br><p><strong>Skills:</strong></p><br><br><ul><li>.NET / .NET Core / C#</li><li>REST APIs, system integrations</li><li>Microservices architecture</li><li>Cloud: Azure and/or AWS</li><li>CI/CD, deployment automation</li><li>NoSQL: MongoDB</li><li>Relational databases</li><li>Log and technical data management (diagnostics, support, stability)</li><li>Configuration tools: Puppet</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>Within the project, your main tasks will include: </p><br><br><ul><li>Develop and execute integration test plans for AUTOSAR-based ECUs (Classic Platform)</li><li>Perform functional and interface-level testing between BSW modules, SWCs, and MCAL</li><li>Configure and validate RTE and ECU Extract using tools like Vector DaVinci Configurator/Developer</li><li>Analyze integration test results, identify root causes, and work with development teams to resolve defects.</li><li>Maintain and execute test automation using Python/CAPL for CANoe or other HIL/simulation platforms.</li><li>Ensure traceability of test cases to software architecture and requirements (SWE.1/SWE.2)</li><li>Support CI/CD pipelines for integration testing (e.g., Jenkins, GitLab CI)</li><li>Contribute to ASPICE-compliant documentation for SWE.5 process audits</li></ul> <br> <br> Required profile : <ul><li>Master's degree (BAC+5) from an engineering school or university specializing in embedded systems.</li><li>1 to 3 years of experience in the field of Software integration.</li><li>Proficient in embedded C/C++, with knowledge of static/dynamic memory, registers, and interrupt handling</li><li>Automotive knowledge about Signal-based communication (CAN, LIN, ETH and SOME/IP)</li><li>Experience in Vector tools and Scripts (Python, CAPL).</li><li>Strong expertise in AUTOSAR Classic Platform (BSW, RTE, MCAL) </li><li>Hands-on experience with:</li><li>Vector Tools: CANoe, CANalyzer, DaVinci Configurator/Developer</li><li>Scripting: Python, CAPL</li><li>Debugging Tools: TRACE32/Lauterbach, Oscilloscopes, DLT logs</li><li>Familiar with ECU abstraction layers and configuration of OS, EcuM, Com, CanIf, Dem, Dcm, etc.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>Within the project, your main tasks will include: </p><br><br><ul><li>Develop and execute integration test plans for AUTOSAR-based ECUs (Classic Platform)</li><li>Perform functional and interface-level testing between BSW modules, SWCs, and MCAL</li><li>Configure and validate RTE and ECU Extract using tools like Vector DaVinci Configurator/Developer</li><li>Analyze integration test results, identify root causes, and work with development teams to resolve defects.</li><li>Maintain and execute test automation using Python/CAPL for CANoe or other HIL/simulation platforms.</li><li>Ensure traceability of test cases to software architecture and requirements (SWE.1/SWE.2)</li><li>Support CI/CD pipelines for integration testing (e.g., Jenkins, GitLab CI)</li><li>Contribute to ASPICE-compliant documentation for SWE.5 process audits</li></ul> <br> Required profile : <ul><li>Master's degree (BAC+5) from an engineering school or university specializing in embedded systems.</li><li>1 to 3 years of experience in the field of Software integration.</li><li>Proficient in embedded C/C++, with knowledge of static/dynamic memory, registers, and interrupt handling</li><li>Automotive knowledge about Signal-based communication (CAN, LIN, ETH and SOME/IP)</li><li>Experience in Vector tools and Scripts (Python, CAPL).</li><li>Strong expertise in AUTOSAR Classic Platform (BSW, RTE, MCAL) </li><li>Hands-on experience with:</li><li>Vector Tools: CANoe, CANalyzer, DaVinci Configurator/Developer</li><li>Scripting: Python, CAPL</li><li>Debugging Tools: TRACE32/Lauterbach, Oscilloscopes, DLT logs</li><li>Familiar with ECU abstraction layers and configuration of OS, EcuM, Com, CanIf, Dem, Dcm, etc.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>AI-Native Software Engineer - Early Career Location: Remote — global applications welcome; please apply via the region closest to you Company: ChainGPT Type: Full-Time About ChainGPT ChainGPT is a fast-moving Web3 and AI company building products at the intersection of blockchain infrastructure, token ecosystems, and intelligent automation.<br> We value speed, ownership, clarity, and high standards.<br> Our team is made up of self-driven operators who move fast, think independently, and use cutting-edge tools to create real commercial impact.<br> We foster a transparent, collaborative, and high-performance culture where strong ideas win, autonomy is expected, and execution matters.<br> We’re building Brain by AIVM , a platform that makes enterprise AI verifiable, governed, and genuinely trustworthy.<br> We’re a small, fast-moving team working at the frontier of AI, governance, and enterprise trust.<br> At this stage, a sharp AI-native marketer can have an outsized impact on how the world sees us.<br> About the Role We’re looking for an exceptional early-career engineer who has grown up building with AI.<br> You may be fresh out of university, still studying, or entirely self-taught.<br> What matters most is raw ability, curiosity, strong technical instincts, and a genuine obsession with modern AI tooling.<br> This is a high-growth role for someone who wants to learn how a company is built from the inside while contributing to real product work from day one.<br> You’ll work closely with the founders and senior engineers, build real features and prototypes, and learn how to use AI agents to move faster than traditional teams.<br> What You’ll Do Build real features, prototypes, and demos using tools like Codex, Claude Code, and modern AI coding agents.<br> Turn ideas into working demos quickly, then help make them more reliable, scalable, and production-ready.<br> Learn how to direct, evaluate, and control AI coding agents to multiply engineering output.<br> Work closely with founders and senior engineers across product, engineering, and strategy.<br> Explore new AI development workflows and help the team move faster.<br> Contribute to a fast-moving product where experimentation, speed, and quality all matter.<br> What We Offer Work alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystem.<br> Remote-first setup with flexible hours, focused on outcomes, trust, and ownership.<br> Competitive compensation, with performance-based upside where applicable to the role.<br> Fast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagement.<br> The support to do your best work, including the tools you need, structured onboarding, and clear room to grow.<br> Company Culture and Values At ChainGPT, we value Trust, Effective Speed, Innovation, and Growth.<br> As our AI-Native Software Engineer - Early Career, you will embody these core values and have the opportunity to contribute to our culture and help drive our success.<br> Join us on this exciting journey as we shape the future of blockchain and crypto technology.<br> Additional Information: Employment Compliance and Confidentiality: All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee’s country of residence.<br> As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to your jurisdiction.<br> This process ensures compliance, protects company information, and establishes a secure and professional employment relationship.<br> Employment Structure: The position is offered on either an employee or contractor basis, depending on the location and role.<br> Individuals will receive payment via direct deposit on a monthly basis.<br> Additional details regarding compensation, benefits, and company policies will be provided during onboarding and outlined in the official employment agreement.<br> Compensation: Salaries are paid in fiat currency via direct deposit on a monthly schedule, with payments issued on the first business day of each month.<br> This structure ensures timely and transparent compensation aligned with local financial systems.<br> Probationary Period: All new employees will undergo a 90-day probationary period, which serves as a mutual evaluation phase.<br> During this time, both the employee and ChainGPT can assess fit, performance, and long-term alignment with the role and company.<br> What We’re Looking For You build with AI tools regularly and can show us what you’ve made.<br> You have examples of projects, repos, demos, prototypes, or technical experiments.<br> You’re excited about tools like Codex, Claude Code, Cursor, AI agents, and agentic development workflows.<br> You learn by building and ship constantly.<br> You have strong technical curiosity and are willing to figure things out independently.<br> You care more about output and learning speed than titles or credentials.<br> You’re comfortable working in a fast-moving environment with real responsibility.<br> Bonus Points You’ve created content, demos, or tutorials around AI or software development.<br> You’ve tried to start something of your own.<br> You have a side project you’re deeply interested in.<br> You’ve experimented with AI agents, coding workflows, automations, or developer tools.<br> You’re interested in AI infrastructure, enterprise AI, governance, or agentic systems.<br> Why Join Us Front-row seat: Learn how a company is built directly from founders and senior engineers.<br> Real responsibility: You’ll work on meaningful projects, not just small tasks.<br> Strong mentorship: You’ll be supported while being pushed to grow quickly.<br> Frontier work: Build in one of the most exciting categories in tech right now.<br> Output-first culture: We care about what you can build, learn, and ship.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Rattach la Direction de la Strat gie et du D veloppement, le Data Lab regroupe des comp tences de Data Science, d IA et de Software Engineering pour concevoir, d velopper et d ployer des solutions op rationnelles am liorant les processus, les produits et les services de l entreprise. L quipe compte une trentaine de personnes r parties entre Paris, Toronto et Casablanca. Le Data Lab cherche mettre en uvre les meilleures pratiques de d veloppement, principalement en Python mais aussi en React et en Java, et g re des pipelines CI/CD pour d ployer des applications et des APIs sur les infrastructures Docker/Kubernetes, sur Apache Airflow et dans le Cloud. Les projets sont nombreux et vari s avec des d lais de d veloppement courts et des mises en uvre concr tes, par exemple : Extraction d informations partir d images et de documents Int gration d open-data et web-scrapping Construction et exploitation de base de donn es graphes Moteur de recherche sp cialis dans l identification des entreprises API de valorisation de donn es pour de grands clients internationaux La formation et la veille technologique sur du temps r serv ainsi que le partage des connaissances par des pr sentations entres membres de l quipe font partie du mode de fonctionnement du Data Lab.</p><p>Les missions : Vous d veloppez des solutions d ploy es sur nos infrastructures de containers ou dans le cloud, et vous mettez en place le monitoring en production Vous participez aux revues de code des autres membres de l quipe pour partager les connaissances et assurer la qualit des d veloppements Vous proposez des solutions techniques et participez la veille technologique</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Description de l'entreprise Chez Coface, nous faisons avancer le commerce chaque jour. Nos 5 200 experts, repr sentant plus de 80 nationalit s dans 58 pays, sont unis par une mission commune : aider les entreprises naviguer dans l incertitude en leur donnant les moyens de prendre les bonnes d cisions et de commercer plus intelligemment dans un monde complexe. Avec pr s de 80 ans d exp rience internationale, nous proposons aux entreprises une gamme compl te de solutions : assurance-cr dit, informations d entreprise, recouvrement de cr ances, assurance risque unique, cautions, affacturage le tout port par un patrimoine de donn es unique, une technologie de pointe, de l innovation et une compr hension approfondie de l conomie mondiale. Rejoindre Coface, c est int grer une organisation internationale soud e, o vos id es comptent. Nous cultivons une culture d apprentissage, de collaboration et d inclusion, o vous avez des responsabilit s et pouvez constater l impact de vos actions. Fa onnez l avenir du commerce avec nous. Rejoignez les Happeners !</p><p>Qualifications Dipl me d Ing nieur ou quivalent Deux ann es ou plus d exp rience dans un r le similaire D veloppement d application Python avec des standards de qualit lev s et la mise en uvre de bonnes pratiques de revues de code et d int gration continue. Utilisation de bases de donn es SQL et NoSQL (MongoDB, Neo4j, ElasticSearch, Redis ) Mise en place de dashboards de monitoring (Kibana, Grafana) Autonomie, curiosit , travail en quipe et partage des connaissances Communication en Anglais (projets dans des contextes internationaux)</p><p>Comp tences appr ci es : Mise en uvre de cha ne CI/CD et d ploiement Docker/Kubernetes Conception d architectures d application avec haute disponibilit Comp tences en librairies orient es data science (e.g. Pandas) Connaissance en administration Linux D ploiement d'application dans le cloud et infrastructure-as-code Programmation front-end (React ou Angular ou Vue.js )</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.</p><p>Preferred Skills:</p><ul><li>Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.</li><li>Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.</li><li>Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.</li><li>Experience with Infrastructure as Code tools such as Terraform or Pulumi.</li><li>Experience designing data models, analytical pipelines, or BI/dashboard solutions.</li><li>Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design &amp; Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market &amp; Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Become the AI &amp; Automation Rockstar at Infomineo!<br> Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate?<br> Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research &amp; Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele.<br> Why Infomineo?<br> Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success.<br> Become an AI &amp; Automation Guru: We foster continuous learning.<br> Expect to stay on top of the latest advancements and actively propose and implement improvements.<br> Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents.<br> Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude.<br> You'll be encouraged to contribute your ideas and make a real difference in the company's growth.<br> Does this sound like your dream role?<br> Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems.<br> Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing.<br> Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments.<br> Deep understanding of the software engineering fundamentals required to build frameworks for AI.<br> Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines.<br> Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments.<br> Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments.<br> Conceptual understanding of modern infrastructure ecosystems (e.<br>g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team.<br> Experience integrating complex third-party SaaS APIs.<br> Ready to join the revolution?<br> We offer: A competitive compensation and benefits package.<br> The opportunity to make a real impact on a global scale.<br> A dynamic and supportive work environment that values your contributions.<br> Continuous learning and professional development opportunities to propel your career forward.<br> Show us what you've got!<br> Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>