وظائف مهندس تصميم ميكانيكي في المغرب

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>BTechnologie</strong> is characterized by a corporate culture primarily driven by <strong>organization</strong>, where rigor, reliability and operational efficiency are key drivers of performance. This structured environment is strengthened by a strong <strong>collaborative</strong> dimension, promoting team spirit, quality relationships and supportive leadership. The company also embraces a culture of <strong>performance and challenge</strong>, with a clear focus on results and excellence. Complementing these strengths, an <strong>innovative</strong> mindset brings openness to change and continuous improvement. </p><br><br> <br> Job : <p>As part of strengthening our Telecom teams, we are looking for a Radio Design Engineer passionate about mobile networks, radio studies and data analysis, to work on strategic projects around 3G, 4G and 5G networks.</p><br><br><p>The position combines skills in <strong>mobile radio engineering, network performance analysis and automation of analyses via data tools (Python, SQL, advanced Excel).</strong></p><br><br><p>Your responsibilities:</p><br><br><p>Conduct coverage, capacity, and traffic studies for 3G/4G/5G mobile networks. </p><br><br><p>Design and size radio sites (new sites, modifications, colocation). </p><br><br><p>Define radio parameters: azimuth, tilt, height, power, frequency bands, antenna configurations, etc. </p><br><br><p>Perform radio planning and simulations using ATOLL. </p><br><br><p>Analyze network performance using radio KPIs and identify areas for improvement. </p><br><br><p>Participate in coverage and mobile service quality optimization initiatives. </p><br><br><p>Automate data analysis, reporting, and processing using Python and SQL. </p><br><br><p>Utilize and analyze large volumes of network data using advanced Excel skills (pivot tables, complex formulas, macros/VBA preferred). </p><br><br><p>Produce technical deliverables and maintain up-to-date engineering repositories. </p><br><br><p>Conduct exposure studies and associated technical analyses.</p><br><br> <br> <br> Required profile : <p><strong>Desired profile:</strong></p><br><br><ul><li>Engineering degree (Bac+5) in Telecommunications, Networks or equivalent field.</li><li>First experience in mobile radio design, planning or optimization.</li><li><strong>Good command of 2G/3G/4G/5G</strong> technologies and radio dimensioning principles.</li><li>Proficiency in the <strong>ATOLL tool is mandatory.</strong></li><li>Strong skills in data analysis and automation:</li></ul><p><strong>Python</strong> (analysis scripts, process automation, data manipulation - Pandas preferred) </p><br><br><p><strong>SQL</strong> (queries, data extraction and analysis) </p><br><br><p><strong>Advanced Excel</strong> (pivot tables, advanced functions, automation)</p><br><br><p>Desired technical skills:</p><br><br><p><strong><em>Mobile Radio:</em></strong></p><br><br><ul><li>ATOLL (ACP/AFP)</li><li>LTE/5G Radio Planning and Optimization</li><li>Radio KPI: RSRP, RSRQ, SINR, Handover Success Rate, Call Drop Rate…</li><li>TEMS Investigation / Discovery</li><li>Huawei tools (U2000, GENEX, ISDP) or equivalent</li></ul><p><strong><em>Data &amp; Analysis:</em></strong></p><br><br><ul><li>Python for data processing and automation</li><li>SQL for querying databases</li><li>Advanced Excel for analysis and reporting</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job : <p>We are hiring a Fluid Engineer.</p><br><br><p>The main goal of this role is to design, develop, and technically supervise fluid systems, ensuring the performance, safety, and compliance of the installations. This involves mastering the technical aspects and coordinating the different project phases to achieve the best results.</p><br><br><p>Your responsibilities will include a variety of key tasks:</p><br><br><p>Design and size fluid systems (piping, pumps, valves, heat exchangers, etc.).<br>Carry out technical studies, diagrams, and plans needed for projects.<br>Participate in selecting equipment and materials.<br>Supervise the installation of systems on-site, ensuring work monitoring and adherence to standards.<br>Collaborate closely with project teams, subcontractors, and clients.<br>Analyze system performance and propose improvements.<br>Manage technical aspects related to construction sites.</p><br><br> <br> Required profile : <p>More than 3 years of professional experience in a similar role is expected. This period should demonstrate strong skills and a good understanding of the sector's challenges.</p><br><br><p>This position is for individuals with strong technical skills in fluid engineering. You should be highly rigorous, have excellent analytical skills, and be good at problem-solving. A good understanding of current regulations and good interpersonal skills for teamwork will be major assets. Proficiency in design and simulation tools will also be valued.</p><br><br> <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>The MBD engineer will have the following tasks:</p><br><br><ul><li>Design and modeling: Develop system functional models using MATLAB/Simulink, following Model-Based Design (MBD) principles.</li><li>Compilation and debugging: Compile and analyze C code generated from the models, fix any issues.</li><li>Validation and testing: Perform MIL (Model-in-the-Loop), SIL (Software-in-the-Loop), and B2B (Back-to-Back) tests to ensure models and code are correct.</li><li>Requirements analysis: Review and validate functional specifications to ensure they are consistent and achievable.</li><li>Software problem analysis: Identify, diagnose, and fix issues related to models or embedded code.</li></ul> <br> Required profile : <ul><li>Degree in electronic engineering, embedded IT, or systems engineering, with 1 to 2 years of minimum experience.</li><li>Very good level of English is required.</li><li>Proficiency in MATLAB/Simulink (including Model Advisor, Design Verifier)</li><li>Use of Git/GitHub for configuration management</li><li>Proficiency in CANOE/CANalyzer for CAN network simulation and analysis</li><li><strong>Good level in C language for embedded development</strong></li><li>Knowledge of UDS and OBD protocols (a major plus).</li><li>Knowledge of ISO 26262 (automotive functional safety)</li><li>Knowledge of AUTOSAR (automotive software architecture)</li><li>Application of MISRA C guidelines for embedded code</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AVL Maroc SARL AU offers a job in Morocco (MA) as</p> <b>System Developement Engineer - Braking Systems</b> <p> </p> <p> </p><p> </p> <p> </p> <p></p> <p> </p> <p> <b>YOUR RESPONSIBILITIES:</b> </p> <p> </p> <p> </p><ul> <li>Responsible for the overall braking system architecture (electrical/electronic, mechanical, and software)</li> <li>Development of system concepts and interface definitions</li> <li>Definition, management, and traceability of system requirements</li> <li>Coordination of subsystems, suppliers, and internal engineering teams</li> <li>Ensuring seamless vehicle-level system integration</li> <li>Planning and execution of verification and validation (V&amp;V) activities</li> <li>Ensuring functional safety and compliance with applicable regulatory requirements</li> </ul> <p></p> <p> </p> <p> <b>YOUR PROFILE:</b> </p> <p> </p> <p> </p><ul> <li>Degree in Automotive Engineering, Mechanical Engineering, Mechatronics, Electrical Engineering, or a related field</li> <li>Significant experience in braking system development</li> <li>Strong knowledge of mechatronic systems and vehicle dynamics</li> <li>Experience in Systems Engineering and system architecture</li> <li>Knowledge of ASPICE, ISO 26262, and the V-model development process</li> <li>Experience in technical coordination and/or project management</li> <li>Strong analytical and structured problem-solving skills</li> </ul> <p></p> <p> </p> <p> <b>We Offer :</b> </p> <p> </p> <ul> <li> <b>Smooth Integration:</b> Our technical and personal onboarding process ensures you can easily and quickly adapt to your new role.</li> <li> <b>Career Development:</b> Growth and advancement opportunities within the company, including mentoring and training programs tailored to your professional goals.</li> <li> <b>Work Flexibility:</b> Options for remote work and flexible hours to help maintain a healthy work-life balance.</li> <li> <b>Collaborative Environment:</b> A company culture that fosters open communication, teamwork, and innovative thinking.</li> <li> <b>Community Connection:</b> Regular employee events and activities that build camaraderie and strengthen team bonds.</li> <li> <b>Recognition and Support:</b> A commitment to acknowledging your contributions and providing the necessary support for you to thrive professionally.</li> </ul> <p> </p> <p>Together with our clients, we are shaping the future of mobility!</p> <p> </p> <p> <b>If you meet these qualifications and are looking for a new challenge, we encourage you to apply so we can discuss this exciting opportunity further!</b> </p></div></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>The MBD engineer will have the following missions:</p><br><br><ul><li>Conception and modeling: Develop system functional models under MATLAB/Simulink while respecting Model-Based Design (MBD) principles.</li><li>Compilation and debugging: Compile and analyze C code generated from models, ensure the correction of issues.</li><li>Validation and testing: Perform MIL (Model-in-the-Loop), SIL (Software-in-the-Loop), and B2B (Back-to-Back) tests to ensure the conformity of models and code.</li><li>Requirements analysis: Review and validate functional specifications to ensure their consistency and feasibility.</li><li>Software problem analysis: Identify, diagnose, and resolve issues related to models or embedded code</li></ul> <br> Required profile : <ul><li>Holder of a degree in electronics engineering, embedded systems, or systems engineering, with 1 to 2 years of minimum experience.</li><li>Very good level of English is required.</li><li>Proficiency in MATLAB/Simulink (including Model Advisor, Design Verifier)</li><li>Use of Git/GitHub for configuration management</li><li>Proficiency in CANOE/CANalyzer for CAN network simulation and analysis</li><li>Good level in C programming for embedded development</li><li>Knowledge of UDS and OBD protocols (major asset).</li><li>Knowledge of ISO 26262 (automotive functional safety)</li><li>Knowledge of AUTOSAR (automotive software architecture)</li><li>Application of MISRA C guidelines for embedded code</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: In this role, the DevOps Engineer will be responsible for: Analyzing, designing, and developing CI/CD solutions for Java/Angular applications within the Legisway project. Implementing CI/CD pipelines and configuring the associated environments. Managing the migration of CI/CD processes to Bamboo, then to GitHub, minimizing disruptions. Integrating pipelines with security tools (SonarQube, BlackDuck) for source code analysis and quality control. Preparing and maintaining the technical documentation necessary for client delivery.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Skills: CI/CD Tools: Bamboo, GitHub, ArgoCD; Code Management: BitBucket, GitHub; Orchestration: Kubernetes; Project Management: Jira, Confluence; Security and Quality: SonarQube, BlackDuck, JFrog; Frameworks: Knowledge of Java/Angular stacks; Experience: Minimum 5 years as a DevOps/CI/CD engineer, with proven experience in pipeline migration and security tool integration. Languages: English</font></font></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 : <ul><li>Mastery of the Product development process in the automotive industry</li><li>Role and responsibilities of a DRE (Design Release Engineer)</li><li>Mastery of APQP management and project milestone management</li><li>Knowledge of PPAP process and supplier validation</li><li>Bill of Materials (BOM) management</li><li>Technical change management (ECR, ECO, ISSUE, LA)</li><li>3D design and drawing creation using CATIA V5/V6</li><li>Advanced mastery of ENOVIA / PLM/ DOCINFO tools..</li><li>Advanced mastery of the product lifecycle</li><li>Analysis and validation of supplier technical documentation (PCP, CTF, RCM)</li><li>Reviews and validation of digital mock-ups (DMU) with stakeholders</li><li>Knowledge of functional dimensioning and geometric tolerancing (GD&amp;T)</li><li>Risk analysis during project milestones</li><li>Knowledge of automotive quality tools (8D, 5S, DMAIC, ISO 9001)</li><li>KPI monitoring (QCD, OTD, FTQ, FRT, dashboards..)</li><li>Coordination with cross-functional teams (Quality, Purchasing, Logistics, Production)</li><li>Mastery of Vehicle and silhouette Base systems (Strong knowledge of chassis is a plus)</li><li>Team management, quality analysis of internal deliverables</li><li>Problem-solving and feedback on client projects</li><li>Behavioral questions: leadership, communication, conflict management, prioritization, and work in a multicultural environment.</li></ul> <br> Required profile : <ul><li>Master's degree (Bac +5) or equivalent</li><li>1 to 3 years of experience in a similar role</li><li>PLM mastery</li><li>Cross-functional coordination</li><li>Autonomy and proactivity</li><li>Good level of French and English</li></ul><br> <br><br> </div>

<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>Join an innovative company in the <strong>IT</strong> sector and help shape the future of data as a <strong>Data Engineer GCP</strong> in <strong>Casablanca</strong>. This is a unique opportunity to use your expertise on challenging projects at the heart of Google's cloud ecosystem.</p><br><br><p>As a Data Engineer GCP, you will be responsible for designing, developing, and maintaining data pipelines on the Google Cloud Platform environment. You will work in a data-driven transformation context, in collaboration with Data Science, BI, and IT teams.</p><br><br><p>Your missions include:</p><br><br><p>Design and develop robust and scalable data pipelines (ETL/ELT) on GCP.<br>Implement and maintain data architectures (BigQuery, Dataflow, Pub/Sub, etc.).<br>Ensure data quality, security, and governance.<br>Participate in the industrialization of machine learning models.<br>Collaborate with business teams to understand needs and propose suitable solutions.<br>Document processes and stay updated on GCP tools.</p><br><br><p><br>Required skills</p><br><br><p>Technical:</p><br><br><p>Proficiency in Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Vertex AI.<br>Solid experience in SQL, Python, and orchestration tools (Airflow).<br>Knowledge of Data Lake / Data Warehouse architectures.<br>Experience with CI/CD tools (Cloud Build, GitLab CI, Terraform…).<br>Basic understanding of data security and governance.</p><br><br><p>Functional:</p><br><br><p>Ability to understand business needs and translate them into technical solutions.<br>Good communication and teamwork skills.<br>Analytical mindset, rigor, and autonomy.</p><br><br><p>.</p><br><br> <br> Required profile : <p>To excel in this role, a <strong>higher education level, Bachelor's degree +5 or more</strong>, is required. A degree in <strong>Computer Science</strong> or <strong>Electronics</strong> will be particularly appreciated.</p><br><br><p>With <strong>5 to 10 years of experience</strong> in data or Cloud Architect roles, you have developed solid expertise in managing and processing large volumes of data.</p><br><br><p>Essential skills for success include in-depth mastery of the <strong>Google Cloud Platform (GCP) ecosystem</strong>, particularly services like BigQuery, Dataflow, Dataproc, and Cloud Storage. A strong understanding of data modeling principles, programming languages like Python or Java, and SQL and NoSQL databases is essential. The ability to design and implement complex data pipelines, along with strong problem-solving skills, is also expected. Good communication and teamwork skills complete this profile.</p><br><br> <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>As a Requirement System Engineer, you will play a key role in the development of vehicle systems. You will be responsible for analyzing vehicle-level requirements, defining functional requirements, and contributing to system architecture design. Your expertise will ensure the robustness, quality, and compliance of embedded functionalities across the vehicle.</p><br><br> <br> Required profile : <p><strong>Profile:</strong> Master's degree (Bac+5)</p><br><br><p><strong>Experience:</strong> 3 to 5 years</p><br><br><p><strong>Skills:</strong></p><br><br><p>Analyze vehicle-level requirements and derive clear, consistent, and testable atomic functional requirements.<br>Contribute to the definition, structuring, and evolution of the overall vehicle architecture.<br>Support functional design activities using SysML models and ensure consistency in Enterprise Architect.<br>Ensure the proper integration of functional safety constraints (ISO26262, deliverables) into requirements and system models.<br>Collaborate closely with system, software, validation, and safety teams to ensure the proper implementation of requirements.<br>Provide expertise on diagnostic systems (UDS, DTC), communication protocols (CAN, LIN), and ECU operating modes and functionalities.</p><br><br> <br><br> </div>

<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>

<p>Position: Palo Alto Technical Pre-Sales Engineer Job Description: Enterprise Computing Solutions (ECS) is a global scale IT distributor guiding innovation across the channel. We help vendors and IT providers grow by providing deep technical expertise, innovative, real-world solutions and digital platforms. For more information, please visit our website: https://www.arrow.com/globalecs/ma/services/</p><p>We are looking for the next Palo Alto Technical Pre-Sales Engineer to join our team in Morocco. This position will have to:</p><ul><li>Palo Alto products promotion.</li><li>Support the sales organization in technical aspects.</li><li>Responsible for working with Vendor, Business partners and End users.</li><li>Identify opportunities based on Business partner and End user requirements.</li></ul><p>Technical:</p><ul><li>Support Business Partners and End Users with product knowledge and technical expertise, solution selection, Proof of Concept, configuration, sizing and service recommendations based on End User requirements.</li><li>Design, create and optimize security solution architectures and system configurations.</li><li>Conduct technical workshops, enablement sessions, product demonstrations and hands-on training for Business Partners, End Users.</li><li>Support Business Partners throughout Proof of Concept and Proof of Value activities, from solution design and deployment to testing and final technical validation.</li><li>Assist the sales organization in preparing technical proposals, responding to RFPs/RFIs and presenting recommended solutions to customers.</li><li>Keep up to date with new products, cybersecurity technologies and industry trends, while maintaining the required vendor certifications.</li><li>Educate internal sales teams and Business Partners on products, solutions, competitive positioning and security best practices.</li></ul><p>Sales:</p><ul><li>Quote to order process: provide quotes, technical support, data sheets, placing purchase orders.</li><li>Active collaboration in the business unit achievements and KPIs.</li><li>Coordinate with internal and external teams to ensure customer and vendor satisfaction.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Education: Engineer/5-year degree and 3-5 years of related experience.</p><p>Experience: Strong knowledge of cybersecurity technologies, including Endpoint Security, EDR, XDR, NDR, Email Security, Data Loss Prevention (DLP), Identity Security, IAM, Zero Trust and Cloud Security. Experience with Routing, Switching, VPN, Network Security, SD-WAN, Wireless Networking, Public and Private Cloud, IPS/IDS, SIEM, SOAR, ZTNA, WAF, CASB, SASE, Secure Web Gateway (SWG) and Next-Generation Firewalls (NGFW). Knowledge of cloud-native security technologies, including CNAPP, CSPM, CWPP and cloud workload protection. Experience in solution sizing, security architecture design, Proof of Concept execution, troubleshooting, technical demonstrations and customer presentations. Familiarity with virtualization technologies, Windows and Linux environments, as well as public cloud platforms such as Microsoft Azure, AWS and Google Cloud Platform, is a plus. Fluent in English and French.</p>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a skilled Cyber Security Engineer (Staff / Lead Level) to join our Information Security &amp; Compliance team and play a key role in designing, implementing and continuously improving A2MAC1's cybersecurity engineering capabilities.<br> Based in our Casablanca office, you will provide technical leadership across security architecture, cloud security, detection engineering and platform protection.<br> Working closely with the Cyber Security Manager / Director, you will drive scalable security engineering initiatives, transform security operations into engineering solutions, and strengthen the security posture of our global software platform.<br> In this role, you will collaborate with cross-functional engineering teams, define security standards and best practices, improve automation and detection capabilities, and contribute to the delivery of secure, reliable and innovative SaaS, cloud and AI-driven solutions.<br> GROUP ACTIVITY A2MAC1 is the leading provider of automotive benchmarking and data analytics worldwide.<br> Our solutions help OEMs and suppliers understand their competitive landscape, accelerate development, and make better strategic decisions based on reliable, structured, and actionable insights.<br> Through our digital platforms, data services, consulting expertise, and AI-driven solutions, A2MAC1 supports the world’s top automotive players.<br> With 700+ employees across Europe, Asia, and North America, A2MAC1 continues its strong growth, driven by innovation and customer success.<br> KEY RESPONSIBILITIES Define and maintain security architectures, standards and engineering guardrails across cloud, endpoint, identity, DevSecOps, data and AI environments Lead security engineering initiatives and translate security strategy into scalable technical solutions Drive detection engineering and automation to improve incident response and platform resilience Collaborate with the SOC to transform detections and incidents into long-term engineering improvements Design and implement security controls across software development and cloud platforms Lead threat modeling, risk reduction and secure-by-design initiatives Define security metrics, KPIs and engineering telemetry to measure platform security and reliability Contribute to CI/CD security, application security and cloud security best practices Provide technical leadership across engineering teams and promote security standards through collaboration and mentoring Support audit readiness and continuous compliance with security frameworks and industry standards PROFILE &amp; SKILLS Must-Have 8+ years of experience in Cybersecurity, Security Engineering, Cloud Security or Application Security Strong experience with security architecture, cloud environments and modern security engineering practices Experience designing and implementing security controls across cloud and software platforms Strong knowledge of Microsoft security technologies (Azure, Defender, Sentinel, Entra, Purview or equivalent) Experience with SIEM, SOAR, detection engineering and security automation Strong understanding of DevSecOps, CI/CD security and secure software development lifecycle Experience with ISO 27001, NIST and security governance frameworks Strong stakeholder management and technical leadership skills Professional level of English Nice to Have CISSP, CCSP, SABSA or equivalent security certifications Azure Security, Microsoft Defender, Sentinel or related Microsoft certifications Experience in automotive or industrial environments Experience working with outsourced SOC providers Knowledge of TISAX and GDPR requirements French, German or Chinese language skills</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Test Specification Engineer is responsible for the end-to-end definition and maintenance of test specifications, ensuring full traceability between requirements, test design, and validation results within complex automotive systems (focus: steering systems / ECU testing).</p><p>Ability to independently create test specifications</p><p>No reliance on detailed instructions</p><p>Experience working with European OEMs (VW preferred)</p><p>Strong documentation discipline</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Analyze system, software and safety requirements (ASIL relevant where applicable)</li><li>Create high-quality test specifications and test cases (HiL / SiL / Vehicle)</li><li>Ensure end-to-end traceability (Requirement Test Case Execution Result)</li><li>Review and optimize existing test specifications</li><li>Perform coverage analysis (requirements vs. test cases)</li><li>Support test strategy definition and refinement</li><li>Align with stakeholders (Germany / OEM / Suppliers)</li><li>Hands-on experience in at least one domain: ECU testing steering/braking systems vehicle control systems</li><li>Minimum 5 years of experience</li><li>Languages English: Professional working proficiency (mandatory)</li><li>German: Considered a strong asset / plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >As an experienced Data Engineer, you will be responsible for:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop, and maintain robust and scalable ETL/ELT data pipelines using Databricks, </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > , and SQL</font></font></li> <li><font dir="auto" ><font dir="auto" > Integrate data from multiple sources (databases, files, APIs, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" > Transform and clean the data to guarantee its quality and consistency</font></font></li> <li><font dir="auto" ><font dir="auto" > Automate data processing tasks for efficient and reliable execution</font></font></li> <li><font dir="auto" ><font dir="auto" > Implement monitoring and alert processes to ensure pipeline availability and health.</font></font></li> <li><font dir="auto" ><font dir="auto" > Collaborating with data analysts and data scientists to understand their data needs and provide them with high-quality data</font></font></li> <li><font dir="auto" ><font dir="auto" > Document data pipelines and processes clearly and concisely</font></font></li> <li><font dir="auto" ><font dir="auto" > Stay up-to-date on the latest technologies and trends in Big Data and data analytics.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" > Degree in computer engineering, mathematics, statistics or a related field</font></font></li> <li><font dir="auto" ><font dir="auto" > Proficiency in </font></font><strong><font dir="auto" ><font dir="auto" >English, both written and spoken.</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" > Minimum </font></font><strong><font dir="auto" ><font dir="auto" >5 years of experience as a Data Engineer</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" > Expertise in Databricks, Python and SQL</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in data integration, data transformation, and data cleansing</font></font></li> <li><font dir="auto" ><font dir="auto" > Solid understanding of Big Data architectures</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in developing batch and streaming data pipelines</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in setting up monitoring and alert processes</font></font></li> <li><font dir="auto" ><font dir="auto" > Excellent communication and collaboration skills</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" > Ability to work independently and manage multiple projects simultaneously. </font></font><br><font dir="auto" ><font dir="auto" > Team spirit and willingness to share knowledge.</font></font></p></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Intetics Inc.<br>, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior QA Engineer (Manual + Automation) to join our dynamic team on a full-time basis.<br> About the project: This project offers a unified platform that consolidates vulnerability, threat, and asset data, enabling organizations to effectively prioritize and remediate critical exposures.<br> By integrating information from over 150 security tools, it provides a centralized hub for risk-based vulnerability management, automating workflows and enhancing security outcomes.<br> The platform is designed to scale and streamline vulnerability and exposure management programs, ensuring efficient mitigation of potential threats Overview We are seeking a detail-oriented and proactive Senior QA Engineer to join our team.<br> This role will be responsible for ensuring the quality, reliability, and performance of our products by executing both manual and automated testing across front-end and back-end systems.<br> The ideal candidate is passionate about software quality, comfortable collaborating with cross-functional teams, and eager to continuously improve testing practices, tools, and frameworks.<br> Key Responsibilities Testing &amp; Quality Assurance - Plan, design, and execute manual and automated test cases to validate product functionality, performance, and security.<br> - Perform functional, regression, smoke, and integration testing, ensuring coverage of positive, negative and edge cases.<br> - Map test cases to business requirements and functional designs, ensuring complete traceability.<br> - Document and report defects, verify bug fixes, and ensure timely resolution in collaboration with development teams.<br> - Maintain a strong understanding of processes, system flows, and data requirements to validate overall system behavior.<br> Automation &amp; Tools - Develop and maintain automation frameworks to enhance efficiency, maintainability, and scalability.<br> - Implement automation scripts using Java and Selenium WebDriver, leveraging design patterns such as the Page Object Model.<br> - Integrate automated tests into CI/CD pipelines and identify opportunities to optimize test execution within DevOps workflows.<br> - Continuously evaluate and recommend new technologies, tools, or processes that improve QA effectiveness.<br> Collaboration &amp; Strategy - Partner with QA Lead, developers, and product managers to define acceptance criteria and clarify requirements.<br> - Contribute to the definition and execution of the team’s quality assurance strategy and test plans.<br> - Support the transition of existing manual test cases into automated suites where appropriate.<br> - Evangelize quality assurance best practices within the engineering team.<br> - Proven experience in manual and automation testing, including test case design and execution.<br> - Hands-on expertise with Selenium WebDriver, Java, and CI/CD pipelines.<br> - Experience with Agile methodologies and working in DevOps environments.<br> - Familiarity with test case management tools and defect tracking systems.<br> - Strong knowledge of cloud environments (AWS, GCP, or Azure).<br> - Experience identifying appropriate test scenarios, including edge cases and error handling.<br> - Excellent communication skills, with experience working in distributed teams across multiple time zones.<br> - Familiarity with collaboration tools such as Slack and Microsoft Teams.<br> - Desired but not essential: exposure to security testing tools.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As a Senior Data Engineer, your role will be to design, code, test, and deploy data ingestion, processing, modeling, and valorization pipelines so that this data can be presented and visualized through web applications, using modern technologies. Your main responsibilities will include: Working in Data and Cloud environments, particularly GCP; Leveraging BigQuery and advanced SQL on large volumes of data; Integrating new LLM technologies into your development routine; Managing real-time streams with Pub/Sub; Automating data workflows via GitLab CI/CD and Docker Compose; Versioning code with Git; Collaborating in an agile environment (Scrum); and Data modeling and preparation: designing optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses. Respect deadlines while maintaining high standards of quality and excellence. Communicate clearly and effectively in writing and orally in French for smooth interactions with the business and teams. Analyze situations and propose appropriate solutions while identifying areas for improvement. Actively collaborate with team members, share knowledge and foster a team spirit to achieve common goals. Apply a continuous improvement mindset to optimize practices and results.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Company Description: At Devoteam, we are Digital Transformakers. Respect, honesty, and passion drive our team every day. Together, we help our clients win the digital battle: from consulting and implementing innovative technologies to ensuring user adoption. Cloud, Cybersecurity, Data, DevOps, Fullstack Development, Low Code, and RPA hold no secrets for our team! Our 10,000+ employees are certified, trained, and supported daily to take on new and innovative challenges. A leader in Cloud, Cybersecurity, and Data in EMEA, the Devoteam Group achieved a revenue of €1.036 billion in 2022 and aims to double it within the next 5 years. Devoteam Morocco, a leading player in IT expertise for over 30 years (350+ consultants), is accelerating its growth by developing its nearshore expertise activities to meet the needs of our French, European, and Middle Eastern clients. Are you ready to join us and take on this challenge together?</font></font></p><p><font dir="auto" ><font dir="auto" >Qualifications For this position, you will need: Proficiency in DBT for data transformation and orchestration. Significant experience in data modeling and implementation of semantic layers with Looker/LookML. Knowledge of machine learning and Agentic. Experience with the Google suite.</font></font></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><strong>ALTEN</strong> is supporting its client in project management activities within the TS-TC (Train Control and Train System) division.</p><br><br><p>The systems engineer is responsible for the development and integration of train equipment (Air Conditioning, Doors, Battery, etc.).</p><br><br><p><strong>The mission includes: </strong></p><br><br><ul><li>System requirements management (writing, updating, tracking)</li><li>Supplier management (documentation, planning, clause-by-clause, etc.)</li><li>Verification of compliance with the specifications</li><li>Validation of supplier deliverables (3D design, wiring, functional, industrialization)</li><li>Participation in technical meetings with the client</li><li>Writing, participation, and management of equipment performance tests</li><li>Participation in modification committee meetings</li><li>Liaison with other project teams (Control Command, 3D Design, Wiring, RAMS, Validation)</li></ul> <br> Required profile : <p><strong>Profile</strong></p><br><br><ul><li><strong>Education:</strong> Master's degree (Bac+5) in Mechanical Engineering, Mechatronics, Electromechanical Engineering, or Embedded Systems</li><li><strong>Experience:</strong> 3 to 5 years</li><li>With experience in Systems Engineering (Development of complex systems containing mechanical, electrical, and SW components)</li></ul><p><strong>Required Skills</strong></p><br><br><ul><li><p><strong>Technical:</strong></p><br><br><ul><li>Requirements management</li><li>Supplier management</li><li>DOORS <em>(a plus)</em></li><li>Knowledge in electrical, mechanical, pneumatic, hydraulic systems</li></ul></li><li><p><strong>Soft skills:</strong></p><br><br><ul><li>Meeting facilitation and progress tracking</li><li>Synthesis skills</li><li>Practical mindset <em>(ability to put oneself in the users' shoes)</em></li><li>Initiative and autonomy</li><li>Reporting alerts to clients and decision-makers</li></ul></li><li><p><strong>Languages:</strong> French, English <em>(fluent/mastered, spoken and written)</em></p><br><br></li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Manpower Agences</strong> operates within a highly balanced culture, where <strong>collaboration</strong> plays a key role in the work environment. The company values close leadership, trust and collective engagement, while placing equal importance on <strong>performance</strong> and achieving results. This dynamic is supported by a <strong>structured organizational approach</strong>, promoting rigor, efficiency and quality execution. Openness to innovation further strengthens this balance, supporting adaptability in an evolving market. </p><br><br> <br> Job : <p>As part of our business development, we are looking for a Civil Engineering Engineer specializing in reinforced concrete structures. You will be responsible for the design, sizing, and optimization of structures, while ensuring coordination between the design, manufacturing, and site teams. Your expertise will contribute to guaranteeing the quality, safety, and economic performance of projects.</p><br><br><p>Your missions<br>Studies and structural calculations<br>Perform sizing of reinforced concrete elements.<br>Determine the necessary steel sections in accordance with current standards.<br>Calculate lap lengths, reinforcement, and shaping of rebar.<br>Design and development of execution plans<br>Supervise or carry out structural modeling.<br>Produce and validate execution plans.<br>Prepare rebar lists: cutting lists, quantities, and shaping details for manufacturing.<br>Technical and economic optimization<br>Analyze and optimize the quantities of steel used in structures.<br>Improve steel/concrete ratios to reduce construction costs while ensuring structural safety and compliance.<br>Propose innovative and efficient technical solutions.<br>Coordination with manufacturing and site<br>Act as the interface with rebar cutting and shaping factories.<br>Plan deliveries according to work progress.<br>Check the compliance of reinforcement on site before concrete pouring.<br>Support operational teams in resolving technical issues.</p><br><br> <br> Required profile : <p>Graduate of a Civil Engineering school or equivalent.<br>Significant experience in the calculation and design of reinforced concrete structures.<br>Proficiency in structural calculation and modeling software.<br>Good knowledge of construction standards and reinforcement rules.<br>Ability to analyze and optimize technical solutions with a focus on economic performance.<br>Comfortable coordinating with multiple stakeholders (design office, factory, site).<br>Rigor, organizational skills, autonomy, and team spirit.<br>Excellent communication and prioritization skills.</p><br><br> <br><br> </div>

<p>As a QA Engineer, you will work within an agile team composed of 6 testers, a Product Owner, a Scrum Master, and a QA Lead. You will contribute to the validation and continuous improvement of solutions, ensuring a high level of quality. You will be involved in strategic projects, including the development and redesign of the MBIS application.</p><p><strong>Key Missions</strong></p><ul><li>Analyze user stories and their acceptance criteria to ensure complete functional coverage.</li><li>Write BDD test scenarios (Gherkin).</li><li>Define and implement the test automation strategy.</li><li>Develop, execute, and maintain automated tests (Cucumber, Selenium, or Playwright).</li><li>Implement Step Definitions and ensure the robustness of the test framework.</li><li>Perform API testing (Postman).</li><li>Execute and monitor regression test campaigns.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Technical Skills:</strong></p><ul><li>Master s degree (Bac+5) in Computer Science or equivalent.</li><li>Minimum 5 years of experience in software testing.</li><li>Proficiency with Jira, Xray, and Confluence.</li><li>Experience in BDD with Gherkin scenario writing.</li><li>Strong knowledge of Cucumber.</li><li>Good command of a programming language (Java or JavaScript).</li><li>Web test automation using Selenium or Playwright.</li><li>Proficiency with Git.</li><li>Basic knowledge of SQL.</li><li>Solid understanding of Agile/Scrum methodologies.</li><li>Experience in test automation and strong Java skills would be highly appreciated.</li></ul><p><strong>Languages:</strong></p><ul><li>French : Fluent.</li><li>English: Working proficiency.</li></ul><p><strong>Soft Skills:</strong></p><ul><li>Team spirit and strong communication skills.</li><li>Adaptability and organizational skills.</li><li>Analytical mindset and attention to detail.</li></ul>