Software Quality Control Engineer Jobs in Morocco
46 Jobs Found
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<p><strong>Publication date :</strong> May 21, 2026, 12:00AM</p><br><br>Vidéo EVP<br>Déclaration de mission de l'entreprise<p>Join us at Orange Business!<br>We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.<br>Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.</p><br><br>À propos du rôle<p><span>We are looking for a Data Scientist with an agile mindset who can move seamlessly between fast experimentation and scalable delivery. You will be able to build Proof of Concepts (PoCs) quickly, while also contributing to production-level, high-scalability AI initiatives.</span></p><br><br><p><span>Key responsibilities</span></p><br><br><ul><li><span>Deliver PoCs: design, develop, and validate AI/analytics prototypes to demonstrate value and support decision-making.</span></li><li><span>Build scalable AI solutions: develop robust models and data-driven services that can operate reliably in production.</span></li><li><span>Develop automation use cases: create AI-driven automation to optimize workflows and improve efficiency.</span></li><li><span>Create predictive models: build and deploy models for prediction, classification, forecasting, and decision support.</span></li><li><span>Implement Generative AI (GenAI): contribute to GenAI use cases (e.g., assistants, text generation, document-related intelligence), when relevant.</span></li><li><span>Work with engineering and business stakeholders: collaborate across teams to translate needs into technical solutions and measurable outcomes.</span></li><li><span>Ensure model and data quality: monitor performance, validate results, and improve reliability over time (data quality, evaluation, documentation).</span></li><li><span>Communicate results clearly: present insights, model behavior, and outcomes to both technical and non-technical audiences.</span></li></ul><p><span>The role will cover a broad range of use cases, including:</span></p><br><br><ul><li><span>Automation and optimization of business workflows</span></li><li><span>Predictive analytics (forecasting, classification, churn/retention, etc.)</span></li><li><span>Generative AI (GenAI) solutions where relevant</span></li></ul><br>À propos de vous<p><span>Technical skills</span></p><br><br><ul><li><span>Statistical analysis & experimentation (hypothesis testing, A/B testing, causal thinking basics)</span></li><li><span>Programming for data science: Python and/or R</span><ul><li><span>Data wrangling, modeling workflows, reproducible code</span></li></ul></li><li><span>Data handling & large datasets</span><ul><li><span>SQL (must-have)</span></li><li><span>Scalable data concepts (and Spark if applicable)</span></li></ul></li><li><span>Machine Learning</span><ul><li><span>Supervised/unsupervised learning, feature engineering, evaluation metrics</span></li></ul></li><li><span>Deep Learning (optional but valued)</span><ul><li><span>Core neural network concepts; frameworks as applicable</span></li></ul></li><li><span>Generative AI (GenAI) & LLM concepts (depending on role)</span><ul><li><span>Prompting, embeddings, RAG, evaluation basics, safe usage</span></li></ul></li><li><span>LLM development tooling (if GenAI is in scope)</span><ul><li><span>Example frameworks: LangChain / LlamaIndex (or equivalents)</span></li></ul></li><li><span>Data pipelines & ETL/ELT</span><ul><li><span>Orchestration, data quality, reliable data preparation</span></li></ul></li><li><span>Data modeling</span><ul><li><span>Dimensional modeling concepts (star/snowflake), schema design mindset</span></li></ul></li><li><span>Model evaluation & validation</span><ul><li><span>Cross-validation, offline/online monitoring concepts</span></li></ul></li><li><span>MLOps fundamentals</span><ul><li><span>Deployment concepts, versioning, monitoring, retraining workflows</span></li></ul></li><li><span>Data visualization & storytelling</span><ul><li><span>BI awareness + dashboards (tools depending on your stack)</span></li></ul></li></ul><p><span>Soft skills</span></p><br><br><ul><li><span>Agile mindset (iterate quickly on PoCs and evolve to scalable solutions)</span></li><li><span>Strong problem-solving & analytical thinking</span></li><li><span>Ability to translate business needs into data solutions (clear success metrics)</span></li><li><span>Communication skills (explain results, assumptions, limitations)</span></li><li><span>Collaboration with Engineering/Product/Business teams</span></li><li><span>Ownership & accountability (follow through on impact)</span></li><li><span>Continuous learning (especially in fast-changing AI/GenAI domains)</span></li><li><span>Quality, ethics & responsibility (bias awareness, data governance mindset)</span></li></ul><br><p>You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.</p><br><br>Informations supplémentaires<p><strong>• Global Opportunities:</strong> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.<br><strong>• Flexible Work Environment:</strong> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).<br><strong>• Professional Development:</strong> training programs and upskilling/re-skilling opportunities.<br><strong>• Career Growth:</strong> Internal growth and mobility opportunities within Orange.<br><strong>• Caring and Daring Culture:</strong> Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.<br><strong>• Reward Programs:</strong> Employee Referral Program, Change Maker Awards.</p><br><br>Égalité des chances en matière d'emploi<p>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.</p><br><br>Récompenses..<p> At Orange, only your skills matter.
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<p> Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Missions We are looking for a Web Integrator to join our team. They will be responsible for transforming UX/UI designs into functional and optimized web pages, while adhering to quality standards and front-end development best practices. Main missions: Integrate UX/UI mockups in HTML5, CSS3, and JavaScript (if necessary). Ensure cross-browser and responsive compatibility of interfaces. Collaborate closely with UX/UI designers and back-end developers. Optimize web page performance (loading, accessibility, SEO). Respect W3C standards and development best practices. Perform functional and visual tests to validate integrations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Master's degree in computer science/application development with at least 3 years of experience</font></font></p><p><font dir="auto" ><font dir="auto" >Know:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Conna tre le rf rentiels des m tiers d Intelcia</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of project management methods (Agile...)</font></font></li><li><font dir="auto" ><font dir="auto" >To know the engineering rules, methods and direct implications in one's field of activity</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Expertise:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Desired certifications: Scrum, Java, Spring, Databases, Security</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering the rules, principles and practices of computer development</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering development and integration tools, frameworks</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering data exchange formats: XML, CSV, JSON</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering database management systems: Oracle, MySQL</font></font></li><li>Ma triser les technologies : JAVA, JEE, Web services rest/soap, Java script, HtmL, CSS, Spring project, SQL, Mongo DB, Maven, Git, JS, Hibertie, GWT , Angular</li><li><font dir="auto" ><font dir="auto" >Professional English</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Knowing how to be:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Autonomy</font></font></li><li><font dir="auto" ><font dir="auto" >Capacity analyses</font></font></li><li>Curiosit technique</li><li><font dir="auto" ><font dir="auto" >Team spirit</font></font></li><li><font dir="auto" ><font dir="auto" >Sense of confidentiality</font></font></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>MTA is looking for a Software Engineer to join the R&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>
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<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.
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<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>
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<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.
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<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>
<h2 class="h5">Job description</h2>
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<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>
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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.
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<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>
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<span></span><p><b><span><span><span><span><span><span>RIBATIS</span></span></span><span><span><span> , Opérateur de la
transformation digitale dans le domaine du </span></span></span><span><span><span>#eGOV</span></span></span><span><span><span>, cherche à </span></span></span><span><span><span>#Recruter</span></span></span><span><span><span> un </span></span></span><span><span>#RESPONSABLE</span><span>#EQUIPE</span><span>#TECHNIQUE</span><span>#JAVA #JEE</span></span></span></span></span></b><br></p><br><b><span><span><span>- Missions</span></span></span></b><span><span><span> :</span></span></span><br><br><p><span><span><span>·</span></span></span><span>Prendre en charge <b>le
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appréciées. Idéalement, une formation d'ingénieur en IT couplée avec une
formation en management de la relation client/des projets/des équipes …</span></span></span><br></p><br><p><b><span><span><span>- Expérience</span></span></span></b><span><span><span> : Plus de 5 années d’expérience, dont au moins une probante dans un poste équivalent</span></span></span><br></p><br><p><b><span><span><span>-
Savoir-être</span></span></span></b><span><span><span> : Une personne</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Sait écouter ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Pédagogue ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>A le sens du leadership.</span></span></span><br></p><br><span><span><span></span></span></span><br><br><p><b><span><span><span>-
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poly-disciplinaire ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Identifier les forces, faiblesses
& mécanismes de fonctionnement des membres de son équipe ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Développer la cohésion entre les membres
de son équipe.</span></span></span><br></p><br><br> </div>
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<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 & 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 & Applied R&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 & 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 & 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 & 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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 & 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & Responsibilities</p><div class="paragraph"><p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential. From self-driving cars to life-saving robots, our digital and software technology experts think outside the box by providing unique R&D and engineering services across all business sectors. Join us for a career full of opportunities, where you can make a difference and no day is the same.</p><p>Capgemini Engineering is recruiting 2 interns: Mobile Developer Intern and Back-End / Full Stack Developer Intern, Bac+5 in Casablanca for a duration of 2-3 months.</p><p>As part of our CSR initiative, the Smart Carpool Network, an internal carpooling mobile application designed to reduce our employees' Scope 3 emissions, we are looking for two profiles to move from design to development.</p><p>The interns will build a real application from A to Z: geolocalized matching, real-time CO2 calculation, gamification, Azure deployment. A technical project with a concrete and measurable environmental impact.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Stagiaire Développeur Mobile (Flutter)</h2><p>Mastery of Flutter/Dart, REST API integration, Firebase/Supabase, Google Maps API, mobile interface management, and user experience.</p><p>He/She will be responsible for the development of the mobile application and all user-side functionalities.</p><h2>Stagiaire Développeur Back-End / Full Stack</h2><p>Mastery of Java Spring Boot or Node.js, REST API, databases (PostgreSQL/MySQL/Firebase), Git, and notions of security/GDPR.</p><p>He/She will be responsible for the design of back-end services, the database, the matching engine, authentication, notifications, and the calculation of impact indicators (CO2, shared kilometers, etc.).</p><h2>Profile Sought:</h2><ul><li>Level: Bac+5 / Master / Engineering School</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
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<p><span>We are</span><b><span> One Team. </span></b><span>We</span><b><span> make it happen. </span></b><span>We are</span><b><span> Unstoppable.</span></b></p><br><p><span>Babel est une multinationale espagnole qui compte à peu près de 3000 employés dans le monde présente déjà dans 4 continents qui offre des services en technologies nouvelles visant à accompagner les grandes organisations dans leur processus de transformation digitale.</span></p><br><p><b>Quel est notre plan stratégique ?</b></p><br><p>Nous regardons vers l'avenir ! Notre plan stratégique Hyperspace 2029 promet d'être un voyage passionnant, plein d'opportunités de croissance et de développement professionnel. Atteindre un chiffre d'affaires de 1 milliard d'euros, un défi que nous sommes sûrs de relever grâce à la collaboration et au talent de notre équipe, sera une autre histoire de succès que nous écrirons ensemble.</p><br><p><b><b>Quel profil nous recherchons?</b></b></p><br><p>Vous êtes passionné(e) par le développement mobile et souhaitez contribuer à des projets innovants ? Rejoignez notre équipe et participez à la création d'applications iOS performantes, intuitives et à fort impact. Nous recherchons un(e) Développeur(se) iOS motivé(e) :</p><br><p><i><b>Missions principals :</b></i><br>• Concevoir, développer et maintenir des applications mobiles iOS à forte valeur ajoutée. <br>• Participer à l'architecture technique et aux choix technologiques des projets. <br>• Développer des fonctionnalités complexes tout en garantissant la qualité, la sécurité et la performance des applications. <br>• Encadrer et accompagner les développeurs juniors et confirmés. <br>• Réaliser des revues de code et promouvoir les bonnes pratiques de développement. <br>• Collaborer avec les équipes Produit, UX/UI, Backend, QA et DevOps. <br>• Participer aux phases de conception, de recette et de mise en production. <br>• Assurer une veille technologique continue et proposer des axes d'amélioration. <br>Profil recherché :<br>• Diplôme Bac+5 en Informatique ou équivalent. <br>• Minimum 5 ans d'expérience en développement d'applications iOS. <br>• Excellente maîtrise de Swift, SwiftUI et Xcode. <br>• Solides connaissances des architectures MVC, MVVM, Clean Architecture. <br>• Maîtrise des API REST, Git, CI/CD et des bonnes pratiques de développement. <br>• Expérience des tests unitaires et d'intégration. <br>• Bonne capacité d'analyse, d'encadrement et de communication. <br>• Anglais technique courant.<br> </p><br><p><span><b>Que proposons-nous ?</b></span></p><br><p><span><b>Babel, the great way to achieve the success.</b></span></p><br><p><br><span>Veux-tu faire partie d'une équipe en expansion, engagée et innovante qui fait l'histoire chaque jour ? Chez Babel, nous t'accompagnons sur le chemin du succès. Nous croyons au talent des personnes et nous voulons le valoriser en vous offrant un excellent environnement de travail basé sur la collaboration et la solidarité.<br>Travailler chez Babel, c'est bien plus que travailler dans une entreprise, c'est rejoindre une équipe de personnes avec une mission partagée et un modèle d'entreprise axé sur les valeurs.<br>De plus,</span></p><br><ul><li><span>Nous investissons dans la formation de nos Babelievers.</span></li><li><span>Nous investissons dans ta santé physique et émotionnelle. (Assurance Maladie Privée / Assurance Vie, Plan de retraite).</span></li><li><span>Nous investissons également dans ton temps libre (Team building, Happy Day, AfterWork, Team Day.. )</span></li><li><span>Nous participons à la croissance de l'entreprise et reconnaissons la contribution de chaque personne (Prime de Bénéfices).</span></li><li><span>Nous mettons l'accent sur le travail avec les dernières technologies et les projets innovants, mais surtout, nous accompagnons la transformation numérique et rapprochons la technologie de la société.</span></li></ul><p><span><b>Acceptes-tu le défi ? Nous t'attendons !</b></span></p><br><p><span>Chez Babel, nous favorisons un environnement de travail basé sur le respect de nos professionnels, le développement professionnel et la promotion de l'égalité des chances sans aucune discrimination.</span></p><br><p><i>Conformément à la législation en vigueur en matière de protection des données, nous vous informons que le GRUPO BABEL est responsable de vos données personnelles (voir les entreprises dans la politique de confidentialité), et qu'il les utilisera pour gérer vos processus de sélection, actuels et futurs, ainsi que pour les autres finalités décrites sur le site web. Ce traitement est basé sur le consentement du candidat. Les données personnelles collectées ne seront en aucun cas transférées à des tiers, sauf en cas d'obligations légales expresses. Vous pouvez exercer vos droits en matière de protection des données à l'adresse suivante : <span>data.protection@babelgroup.com</span>. Toutes les informations sur la politique de confidentialité sont disponibles sur notre site web.</i></p><br> </div>
<h2 class="h5">Job description</h2>
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<span></span><p><span><span>RIBATIS</span></span><span><span><span> , Opérateur de la transformation digitale dans le domaine du </span></span></span><span><span>#eGOV</span></span><span><span><span>, cherche à </span></span></span><span><span>#Recruter</span></span><span><span><span> un </span></span></span><span><span>#INGENIEUR</span><span><span>de</span></span><span>#AVANT_VENTE</span></span><span><span>#IT</span></span><span><span><span> :</span></span></span><br></p><br><b><span><span><span>- Missions</span></span></span></b><span><span><span><span><b>:</b></span></span></span></span><br><br><p><span><span><span><span><span><span><span>·</span></span></span><span><span><span>Apporter son <b>expertise</b> et
rédiger des <b>préconisations d'adaptation de l'offre et des stratégies
commerciales </b>;</span></span></span><br></span></span></span></span></p><br><p><span><span><span>·</span></span></span><span><span><span>Établir une <b>veille technologique
et économique</b> du marché ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Participer à des <b>salons,
conférences</b> dans le but de représenter son entreprise et d'obtenir des
informations sur le marché ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Comprendre les <b>besoins des
clients</b> ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Identifier les <b>appels d'offres
publics et consultations restreintes</b> correspondant à nos domaines
d'expertise et y répondre ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Analyser et chiffrer les <b>propositions</b> ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Étudier et analyser les <b>techniques
de gestion et d'organisation de la concurrence</b> ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Accompagner et conseiller <b>les
commerciaux sur le terrain auprès des clients</b> afin de les aider à <b>affiner
leur argumentaire de vente </b>;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Effectuer un <b>reporting des
actions réalisées </b>;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Développer des <b>outils de
présentation et de démonstration</b> pour soutenir les équipes commerciales ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Établir des <b>relations avec les
partenaires stratégiques</b> pour des projets collaboratifs ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Participer à l'élaboration de <b>supports
marketing et techniques</b> pour promouvoir les offres ;</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span><span><span>Assurer la <b>liaison entre les
clients et les équipes internes</b> pour garantir la satisfaction et la qualité
des services.</span></span></span><br></p><br><p><span><span><span><span><span><span><span>---------------------</span></span></span><br></span></span></span></span></p><br><span><br><span><span>Pour toute personne intéressée, prière de nous adresser vos candidatures sur </span></span></span><span><span>rh@ribatis.com</span></span><span><span><span> en précisant au niveau de l'objet de l'émail l'offre pour laquelle vous postulez.</span></span></span><br><p><span><span><span><span><span><span>#Hiring</span></span><span><span><span>#Ingenieur_avant_vente_IT</span></span><span><span>#IngenieuravantventeIT</span></span></span><br></span></span></span></span></p><br><br><span>Profil<span><span><b><span><span><span><span><span>- Formation initiale</span></span></span></span></span></b><span><span><span><span><span><span><b>: </b>BAC+5 SCIENTIFIQUE OU COMMERCIAL</span></span></span></span></span></span></span></span><br><span><span><b><span><span><span><span>- Expérience</span></span></span></span></b><span><span><b><span><span>:</span></span></b><span><span><span><span><span><span>Au moins une année probante dans un poste équivalent</span></span></span></span></span></span></span></span></span></span><br><br><b><span><span>- Savoir faire : </span></span><span><span><span><span><span><span>Une personne qui</span></span></span></span></span></span></b><br><span><span>• S'adapte aux différents environnements technologiques;<br></span></span></span> </div>
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<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: </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: </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>
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<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 & 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 & 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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>
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<p><span>We are</span><b><span> One Team. </span></b><span>We</span><b><span> make it happen. </span></b><span>We are</span><b><span> Unstoppable.</span></b></p><br><p><span>Babel est une multinationale espagnole qui compte à peu près de 3000 employés dans le monde présente déjà dans 4 continents qui offre des services en technologies nouvelles visant à accompagner les grandes organisations dans leur processus de transformation digitale.</span></p><br><p><b>Quel est notre plan stratégique ?</b></p><br><p>Nous regardons vers l'avenir ! Notre plan stratégique Hyperspace 2029 promet d'être un voyage passionnant, plein d'opportunités de croissance et de développement professionnel. Atteindre un chiffre d'affaires de 1 milliard d'euros, un défi que nous sommes sûrs de relever grâce à la collaboration et au talent de notre équipe, sera une autre histoire de succès que nous écrirons ensemble.</p><br><p><b><b>Quel profil nous recherchons?</b></b></p><br><p>Vous êtes passionné(e) par le développement mobile et souhaitez participer à la création d'applications Android innovantes et performantes ? Rejoignez notre équipe et contribuez à concevoir des solutions modernes offrant une expérience utilisateur de qualité. Nous recherchons un(e) Développeur(se) Android motivé(e)</p><br><p><i><b>Missions principales :</b></i></p><br><ul><li>Concevoir et développer des applications Android performantes et évolutives.</li><li>Participer aux choix d'architecture et aux décisions techniques des projets.</li><li>Développer des fonctionnalités complexes et garantir leur qualité.</li><li>Encadrer les développeurs de l'équipe et assurer le partage de connaissances.</li><li>Réaliser les revues de code et veiller au respect des bonnes pratiques.</li><li>Collaborer avec les équipes Produit, UX/UI, Backend, QA et DevOps.</li><li>Participer aux déploiements et à la maintenance évolutive des applications.</li><li>Assurer une veille technologique permanente.</li></ul><p><i><b>Profil recherché :</b></i></p><br><ul><li>Diplôme Bac+5 en Informatique ou équivalent.</li><li>Minimum <b>5 ans d'expérience</b> en développement Android.</li><li>Excellente maîtrise de <b>Kotlin</b> et <b>Android Studio</b>.</li><li>Bonne maîtrise des architectures <b>MVVM</b>, <b>Clean Architecture</b> et des Design Patterns.</li><li>Expérience des API REST, Git, CI/CD et des tests automatisés.</li><li>Capacité à accompagner techniquement une équipe.</li><li>Esprit d'analyse, autonomie et sens de l'innovation.</li><li>Anglais technique courant.</li></ul><p><span><b>Que proposons-nous ?</b></span></p><br><p><span><b>Babel, the great way to achieve the success.</b></span></p><br><p><br><span>Veux-tu faire partie d'une équipe en expansion, engagée et innovante qui fait l'histoire chaque jour ? Chez Babel, nous t'accompagnons sur le chemin du succès. Nous croyons au talent des personnes et nous voulons le valoriser en vous offrant un excellent environnement de travail basé sur la collaboration et la solidarité.<br>Travailler chez Babel, c'est bien plus que travailler dans une entreprise, c'est rejoindre une équipe de personnes avec une mission partagée et un modèle d'entreprise axé sur les valeurs.<br>De plus,</span></p><br><ul><li><span>Nous investissons dans la formation de nos Babelievers.</span></li><li><span>Nous investissons dans ta santé physique et émotionnelle. (Assurance Maladie Privée / Assurance Vie, Plan de retraite).</span></li><li><span>Nous investissons également dans ton temps libre (Team building, Happy Day, AfterWork, Team Day.. )</span></li><li><span>Nous participons à la croissance de l'entreprise et reconnaissons la contribution de chaque personne (Prime de Bénéfices).</span></li><li><span>Nous mettons l'accent sur le travail avec les dernières technologies et les projets innovants, mais surtout, nous accompagnons la transformation numérique et rapprochons la technologie de la société.</span></li></ul><p><span><b>Acceptes-tu le défi ? Nous t'attendons !</b></span></p><br><p><span>Chez Babel, nous favorisons un environnement de travail basé sur le respect de nos professionnels, le développement professionnel et la promotion de l'égalité des chances sans aucune discrimination.</span></p><br><p><i>Conformément à la législation en vigueur en matière de protection des données, nous vous informons que le GRUPO BABEL est responsable de vos données personnelles (voir les entreprises dans la politique de confidentialité), et qu'il les utilisera pour gérer vos processus de sélection, actuels et futurs, ainsi que pour les autres finalités décrites sur le site web. Ce traitement est basé sur le consentement du candidat. Les données personnelles collectées ne seront en aucun cas transférées à des tiers, sauf en cas d'obligations légales expresses. Vous pouvez exercer vos droits en matière de protection des données à l'adresse suivante : <span>data.protection@babelgroup.com</span>. Toutes les informations sur la politique de confidentialité sont disponibles sur notre site web.</i></p><br> </div>
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<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>