Automotive Engineer Jobs in Morocco
1170 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>ABOUT DEPARTER - THE KNOW-WHO PEOPLE Departer is a leading German Executive Search firm with over 20 years of experience in global leadership recruitment. We specialize in placing executives in medium-sized enterprises and private equity portfolio firms across DACH, MEAI, ASIA, and ANZ regions. With a deep understanding of the DACH economy, we facilitate successful placements within global management teams across corporate headquarters and entities abroad. On an exclusive mandate, we are seeking a Sales Engineer (m/f/d) for our client tesa, a global leader in self-adhesive product and system solutions serving industry, professional craftsmen, and consumers. With more than 5,000 employees and a presence in over 100 countries, tesa develops and markets innovative, high-quality solutions that are trusted worldwide. In this role, you will be responsible for driving sales activities in key industrial markets, such as packaging, solar, and the building industry, across Morocco. By building strong customer relationships and leveraging tesa s innovative technologies, you will play a vital role in expanding the company s market position and contributing to its ambitious growth strategy in the region.</p><p>Your duties and responsibilities will include:</p><ul><li>Manage sales activities across selected industrial markets (e.g., packaging, appliances, solar, building industry, smart card, elevators)</li><li>Ensure the operative achievement of defined business targets</li><li>Continuously generate new business opportunities based on tesa innovations (products, applications, and/or distribution channels)</li><li>Drive the development and implementation of supportive business structures</li><li>Lead the planning process for your assigned market segments</li><li>Support international cooperation and effective communication within the organization</li><li>Define and implement tailored sales strategies, including account plans and forecasts, to achieve ambitious sales and margin targets</li><li>Ensure accurate and timely reporting in line with local, regional, and global tesa requirements</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>To be successful in this role you should have the following skills and experiences:</p><ul><li>University degree in Engineering (e.g., Mechanical, Industrial, Chemical, Mechatronic, Electrical, or Materials Engineering)</li><li>Proven track record in industrial sales with at least 2 3 years of relevant experience</li><li>Dynamic, credible and self-driven professional with a proven ability to create measurable business impact</li><li>Fluent in English, both written and spoken, with strong presentation and negotiation skills</li><li>Proficient in MS Office with a solid command of common business software applications</li><li>Outstanding communication and interpersonal skills with the ability to build lasting customer relationships</li><li>Valid driving license</li><li>High degree of flexibility and willingness to travel both locally and internationally</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p> <strong><font dir="auto" ><font dir="auto" >Job context:</font></font></strong> </p> <p><font dir="auto" ><font dir="auto" >As part of strengthening our </font></font><strong><font dir="auto" ><font dir="auto" >Quality & Testing</font></font></strong><font dir="auto" ><font dir="auto" > department , we are looking for a </font></font><strong><font dir="auto" ><font dir="auto" >Senior Automated Test Engineer</font></font></strong><font dir="auto" ><font dir="auto" > capable of designing, developing, and maintaining robust testing frameworks. You will be at the heart of digital projects, working closely with the development and product teams to guarantee the quality and performance of deliverables.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Main tasks:</font></font></strong> </p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Design, develop and maintain </font></font><strong><font dir="auto" ><font dir="auto" >automated test scripts</font></font></strong><font dir="auto" ><font dir="auto" > (UI and API) using </font></font><strong><font dir="auto" ><font dir="auto" >Selenium</font></font></strong><font dir="auto" ><font dir="auto" > or </font></font><strong><font dir="auto" ><font dir="auto" >Karate</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Implement and develop </font></font><strong><font dir="auto" ><font dir="auto" >automation frameworks</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Integrate tests into </font></font><strong><font dir="auto" ><font dir="auto" >CI/CD pipelines</font></font></strong><font dir="auto" ><font dir="auto" > (Jenkins, GitLab CI, Azure DevOps).</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Identify, document and follow up on detected anomalies.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Collaborating with developers, manual testers and Product Owners to refine test scenarios.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Provide </font></font><strong><font dir="auto" ><font dir="auto" >code review</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >technical mentoring</font></font></strong><font dir="auto" ><font dir="auto" > to junior testers.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Participate in the definition and continuous improvement of </font></font><strong><font dir="auto" ><font dir="auto" >QA best practices</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Technical environment:</font></font></strong> </p> <ul> <li> <p> <strong><font dir="auto" ><font dir="auto" >Languages</font></font></strong><font dir="auto" ><font dir="auto" > : Java, JavaScript, Python or Kotlin</font></font></p> </li> <li> <p> <strong>Outils & Frameworks</strong> : Selenium WebDriver, Karate, Cucumber, RestAssured, TestNG, JUnit</p> </li> <li> <p> <strong>CI/CD</strong> : Jenkins, GitLab CI, Azure DevOps</p> </li> <li> <p> <strong><font dir="auto" ><font dir="auto" >Test management</font></font></strong><font dir="auto" ><font dir="auto" > : Jira / Xray, TestLink, Zephyr</font></font></p> </li> <li> <p> <strong>Versioning</strong> : Git</p> </li> <li> <p> <strong><font dir="auto" ><font dir="auto" >Methodology</font></font></strong><font dir="auto" ><font dir="auto" > : Agile / Scrum</font></font></p> </li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong> </p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Master's degree in computer science (engineering school or equivalent).</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Minimum </font></font><strong><font dir="auto" ><font dir="auto" >5 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in automated testing </font></font><strong><font dir="auto" ><font dir="auto" >on Selenium or Karate</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Solid understanding of the software lifecycle and Agile methodologies.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Ability to design modular and maintainable frameworks.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Good communication and team spirit.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Technological curiosity and quality orientation.</font></font></p> </li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >The best features:</font></font></strong> </p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Experience with performance testing (JMeter, Gatling).</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Knowledge of the cloud (AWS, Azure).</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Practice of BDD (Cucumber, Gherkin).</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Involvement in the QA community or open source contribution.</font></font></p></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>About the position We are looking for a Junior COBOL Engineer to join our technical teams and work on COBOL application development, analysis, and maintenance activities for our client. The role involves participating in the evolution and maintenance of third-party applications, analyzing functional requirements, developing and correcting COBOL programs, performing unit tests, and collaborating with functional and technical teams to ensure the reliability, performance, and sustainability of existing systems. Location: Casablanca Level: Master's degree (Computer Science, Software Engineering, Information Systems, or equivalent) Experience: 0-2 years Technical Skills: COBOL JCL SQL Relational Databases (DB2, Oracle, or equivalent) IBM Mainframe Environment (z/OS) Version Control Tools Basic knowledge of unit and technical acceptance testing CICS or IMS exposure is a plus Languages: French required Technical English appreciated. Your missions Participate in the development, evolution, and maintenance of COBOL applications, adhering to mainframe development standards and best practices. Contribute to the analysis of functional and technical requirements in collaboration with third-party and project teams. Develop, modify, and optimize COBOL programs and associated batch processes (JCL). Perform unit and integration tests to ensure the quality, reliability, and performance of applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Level: Master's degree (Computer Science, Software Engineering, Information Systems, or equivalent) Experience: 0-2 years Technical Skills: COBOL JCL SQL Relational Databases (DB2, Oracle, or equivalent) IBM Mainframe Environment (z/OS) Version Control Tools Basic knowledge of unit and technical acceptance testing CICS or IMS exposure is a plus Languages: French required Technical English appreciated.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Role Summary The Senior Embedded Software Engineer will lead the development of advanced embedded software solutions, driving technical decisions and mentoring team members. This role requires extensive experience in embedded systems, software architecture, and modern C++ development within complex environments. Key Responsibilities Lead the design and implementation of embedded software architectures and solutions. Develop high-quality software using modern C++ (C++17 or above). Define and promote software engineering best practices and coding standards. Drive testing strategies using Google Test (GTest) and automated validation methodologies. Support and guide CI/CD adoption and continuous improvement initiatives. Mentor junior and mid-level engineers. Perform technical reviews, root cause analysis, and performance optimization. Collaborate with global stakeholders and contribute to strategic technical decisions. Ensure delivery of reliable, scalable, and maintainable software products.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Mandatory Requirements</b></p><p>Bachelor's or Master's degree in Computer Science, Electronics, Telecommunications, or a related field. Extensive experience in embedded software development for microcontroller-based systems. Advanced expertise in modern C++ (preferably C++17 or higher). Strong experience with Google Test (GTest). Experience working with CI/CD environments and software delivery practices. Fluent English communication skills.</p><b>Nice-to-Have Skills</b><p>Strong RTOS experience, preferably Zephyr (highly valued). Deep knowledge of C programming and embedded optimization techniques. Experience with performance tuning, memory optimization, and real-time systems. Spanish language skills.</p><b>Soft Skills</b><p>Strong leadership and mentoring capabilities. Excellent collaboration and stakeholder management skills. Highly autonomous with a proactive mindset. Ability to challenge requirements and propose innovative solutions when appropriate. Strong ownership and results-oriented attitude. Excellent analytical and decision-making skills.</p><p></p></section>
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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>We are looking for a junior Artificial Intelligence engineer, passionate about technology and motivated to acquire new skills. You will participate in the development and optimization of AI solutions for various innovative projects. This position is ideal for someone who wishes to grow and train in the field of AI, with a passion for technical challenges and a curious mind.</p><br><br><p><strong>Responsibilities</strong>:</p><br><br><ul><li>Assist in the development and training of AI models under the supervision of experienced engineers.</li><li>Participate in the collection, preparation, and analysis of data needed for projects.</li><li>Contribute to the testing and continuous improvement of models to ensure their performance and reliability.</li><li>Document project steps and provide regular progress reports.</li></ul> <br> Required profile : <p><strong>Education</strong>: Degree in engineering, computer science, mathematics, or a related field.</p><br><br><p><strong>Experience</strong>: Minimum 1 year on Artificial Intelligence projects.</p><br><br><p><strong>Required technical skills</strong>:</p><br><br><ul><li>Good knowledge of programming, especially with languages like Python.</li><li>Basic familiarity with machine learning concepts and the use of AI frameworks (TensorFlow, PyTorch).</li><li>Basic understanding of data manipulation with tools like SQL or pandas.</li></ul><p><strong>Additional desired skills</strong>:</p><br><br><ul><li>Knowledge of mathematics and statistics basics (linear algebra, probability).</li><li>Basic understanding of cloud computing (AWS, Google Cloud, Azure) and data analysis (Tableau, Excel).</li></ul><p><strong>Desired personal qualities</strong>:</p><br><br><ul><li>Learning mindset and openness to training and mentoring.</li><li>Strong motivation to grow in a technical environment and take on challenges.</li><li>Good communication skills and teamwork spirit.</li><li>Awareness of ethical issues in AI, with a willingness to learn best practices for limiting bias.</li></ul><br> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.</p><p>Job Category Sales</p><p>Job Details</p><p>About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.</p><p>About the Role</p><p>Production experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment shipping solutions customers depend on.</p><p>The Builder Experience</p><ul><li>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools Cursor, Claude, and Salesforce coding products like Vibes embedded into your day-to-day workflow.</li><li>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.</li><li>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.</li><li>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.</li></ul><p>What You'll Actually Be Building</p><ul><li>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.</li><li>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.</li><li>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.</li><li>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.</li><li>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.</li><li>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.</li><li>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.</li><li>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.</li></ul><p>You're Our Forward Deployed Engineer If</p><ul><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models</li><li>You have a degree in Computer Science or a related field</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) this is a requirement, not a nice-to-have.</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex and willing to add to that list as the work demands.</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.</li><li>You can hold your own in a room with sales teams and customer architects.</li><li>You ship quality code and evaluate AI outputs with engineering rigor.</li><li>You actively tinker with the evolving AI/data landscape piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.</li><li>You thrive in the group chat that's building something, not just talking about it.</li><li>You're excited to travel ~25% of the time, working directly alongside customers.</li></ul><p>Nice-to-Haves</p><ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models</li><li>You have a degree in Computer Science or a related field</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) this is a requirement, not a nice-to-have.</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex and willing to add to that list as the work demands.</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.</li><li>You can hold your own in a room with sales teams and customer architects.</li><li>You ship quality code and evaluate AI outputs with engineering rigor.</li><li>You actively tinker with the evolving AI/data landscape piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.</li><li>You thrive in the group chat that's building something, not just talking about it.</li><li>You're excited to travel ~25% of the time, working directly alongside customers.</li></ul><p>Nice-to-Haves</p><ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments</li></ul><p></p></section>
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<b>Position:</b>Analytics Product Engineer<br><br><b>Job Description:</b><p><b>Arrow Enterprise Computing Solutions</b> (ECS), a part of Arrow Electronics, brings innovative IT solutions to market to solve complex business challenges. We deliver value-added distribution, business consulting and channel enablement services to leading technology manufacturers and their channel partners. We help businesses grow faster, operate efficiently and transform in a dynamic market.</p><br><br><br><p><b>*** Please submit your application in English ***</b></p><br><br><br><p><b>Purpose of the Role</b></p><br><br><br><p>The <b>Analytics Product Engineer</b> ensures that BIAR’s (<b>B</b>usiness <b>I</b>ntelligence, <b>A</b>nalytics & <b>R</b>eporting) analytics products are built on scalable, consistent, and reusable data foundations.</p><br><br><p>This role bridges business requirements and IT-delivered data structures by translating analytical needs into clear data specifications and designing robust semantic models for analytics consumption.</p><br><br><p>The role complements IT’s ownership of ETL and core data modeling by focusing on analytical usability, consistency, and product quality.</p><br><br><br><p><b>Key Responsibilities</b></p><br><br><br><p><b>Analytics Data & Model Design</b></p><br><br><ul><li><p>Design and maintain reusable, certified datasets for Power BI and analytics solutions</p><br><br></li><li><p>Define and implement best practices for analytics data modeling</p><br><br></li><li><p>Ensure consistent KPI logic and semantic definitions across products</p><br><br></li><li><p>Optimize performance and usability of analytical datasets</p><br><br></li></ul><br><p><b>Collaboration with IT</b></p><br><br><ul><li><p>Translate analytics requirements into structured data needs</p><br><br></li><li><p>Provide input and feedback on IT-delivered data models from an analytics perspective</p><br><br></li><li><p>Support integration of MDM (Master Data Management) structures into analytics layers</p><br><br></li></ul><br><p><b>Standardization & Reusability</b></p><br><br><ul><li><p>Promote modular, scalable dataset design instead of report-by-report development</p><br><br></li><li><p>Reduce duplication of calculations and KPI definitions</p><br><br></li><li><p>Establish quality standards for analytics data products</p><br><br></li></ul><br><p><b>MDM & Governance Alignment</b></p><br><br><ul><li><p>Ensure master data is consistently reflected in analytics products</p><br><br></li><li><p>Align closely with Data Governance on glossary definitions and standards</p><br><br></li><li><p>Support implementation of certified datasets and trusted data sources</p><br><br></li></ul><br><p><b>Enablement & Mentoring</b></p><br><br><ul><li><p>Guide BIAR analysts in modeling best practices</p><br><br></li><li><p>Raise overall technical maturity within BIAR</p><br><br></li></ul><br><p><b>What we are looking for:</b></p><br><br><ul><li><p><b>3+ years experience in BI and <span>Databricks</span>, analytics engineering, or data modeling</b></p><br><br></li><li><p>Strong expertise in Power BI datasets and semantic modeling</p><br><br></li><li><p>Solid understanding of dimensional modeling concepts</p><br><br></li><li><p>Experience collaborating with centralized IT data teams</p><br><br></li><li><p>Structured, quality-focused mindset</p><br><br></li><li><p>Ability to explain technical concepts to business stakeholders</p><br><br></li></ul><br><p><b>Success Measures (First 12 Months)</b></p><br><br><ul><li><p>Establishment of certified, reusable datasets for key domains</p><br><br></li><li><p>Reduced duplication of KPI logic across reports</p><br><br></li><li><p>Improved performance and scalability of analytics solutions</p><br><br></li><li><p>Clear working model established with IT and MDM stakeholders</p><br><br></li></ul><br><p>Do you see yourself as our future colleague? If yes – send us your application.</p><br><br><p><b>PLEASE ATTACH YOUR RESUME IN ENGLISH</b></p><br><br><br><p>#LI-KZ1 #LI-HYBRID </p><br><br><br><br><b>Location:</b>MA-Casablanca, Morocco (Boulevard Al Quods)<br><br><b>Time Type:</b>Full time<br><b>Job Category:</b>Business Support<br> </div>
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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.
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<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 & 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>
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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>We are looking for a motivated Artificial Intelligence engineer, passionate about innovation, and ready to take on complex technical challenges. The ideal candidate has experience in developing and testing AI solutions, with strong programming skills and an awareness of ethical issues.</p><br><br><p><u><strong>Responsibilities</strong>:</u></p><br><br><ul><li>Design, develop, and optimize AI algorithms to meet business needs.</li><li>Collaborate with multidisciplinary teams to integrate AI solutions into existing systems.</li><li>Perform rigorous tests to ensure the performance and reliability of AI models.</li><li>Ensure compliance with best practices regarding ethics and bias reduction in AI solutions.</li></ul> <br> Required profile : <p><u><strong>Profile sought</strong></u></p><br><br><p>- Master's degree (Bac+5) in engineering or computer science</p><br><br><p><strong>Experience</strong>: Minimum 3 years of experience in a similar AI role, with development and testing skills.</p><br><br><p><strong>Technical skills required</strong>:</p><br><br><ul><li>Proficiency in programming languages such as Python, C, or Java.</li><li>Experience in developing and testing machine learning models.</li><li>Knowledge of cloud platforms (AWS, Google Cloud, Azure) for model deployment and scalability.</li><li>Knowledge of AI frameworks like TensorFlow, PyTorch, etc.</li><li>Advantage:<ul><li>Skills in mathematics (linear algebra, statistics) and data interpretation.</li><li>Proficiency in data analysis tools (SQL, pandas) and visualization tools (Tableau).</li></ul></li></ul><p><strong>Personal qualities sought</strong>:</p><br><br><ul><li>Strong team spirit and ability to work independently.</li><li>Intellectual curiosity and capacity for continuous learning in a rapidly evolving field.</li><li>Great problem-solving ability and enjoyment of challenges.</li><li>Awareness of ethical issues in AI and mastery of best practices to limit bias.</li><li>Motivation and willingness to fully invest in ambitious projects.</li><li>Communication skills and ability to explain complex technical concepts simply.</li></ul><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>We are looking for a motivated Artificial Intelligence engineer, passionate about innovation, and ready to take on complex technical challenges. The ideal candidate has experience in developing and testing AI solutions, with strong programming skills and an awareness of ethical issues.</p><br><br><p><u>Responsibilities:</u></p><br><br><p>Design, develop, and optimize AI algorithms to meet business needs.<br>Collaborate with multidisciplinary teams to integrate AI solutions into existing systems.<br>Perform rigorous tests to ensure the performance and reliability of AI models.<br>Ensure compliance with best practices regarding ethics and bias reduction in AI solutions.</p><br><br> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering or computer science</p><br><br><p>Experience: Minimum 3 years of experience (ideally 4 years) in a similar AI role, with development and testing skills.</p><br><br><p><u>Required technical skills:</u></p><br><br><p>Proficiency in programming languages such as Python, C, or Java.<br>Experience in developing and testing machine learning models.<br>Knowledge of cloud platforms (AWS, Google Cloud, Azure) for model deployment and scalability.<br>Knowledge of AI frameworks like TensorFlow, PyTorch, etc.<br>Advantageous:<br>Skills in mathematics (linear algebra, statistics) and data interpretation.<br>Proficiency in data analysis tools (SQL, pandas) and visualization tools (Tableau).</p><br><br><p><br><u>Personal qualities sought:</u></p><br><br><p>Strong team spirit and ability to work independently.<br>Intellectual curiosity and ability for continuous learning in a rapidly evolving field.<br>Great problem-solving skills and a taste for challenges.<br>Awareness of ethical issues in AI and mastery of best practices for limiting bias.<br>Motivation and willingness to fully invest in ambitious projects.<br>Communication skills and ability to explain complex technical concepts.</p><br><br> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As part of our growth and the strengthening of our Cloud & Data teams, we are looking for a passionate Senior Azure DevOps Engineer who will play a key role in the automation, deployment, and operation of our data and application platforms in an Azure Cloud environment. You will work directly with the development and data engineering teams to design, implement, and maintain high-performing and secure CI/CD pipelines. Your Responsibilities: Implementing and optimizing automated CI/CD pipelines (GitLab CI, Azure DevOps, Jenkins) to ensure the quality, speed, and reliability of deployments. Managing Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or Bicep to ensure consistent, scalable, and reproducible environment management. Architecture and administration of secure cloud environments, with strong expertise in Microsoft Azure (Azure App Services, AKS, Azure Monitor, Azure Key Vault), ensuring scalability, high availability, and cost control. Automation and performance monitoring via tools such as Grafana, Prometheus, Azure Monitor, and log and alert management (LogM, ELK). Active participation in Scrum ceremonies and fostering collaboration between Dev, Ops, security, and business teams. Implementation of DevSecOps practices, integrating automated security testing, compliance audits, and continuous vulnerability monitoring. Mentoring and knowledge sharing with teams, as well as contributing to a culture of continuous improvement and technology monitoring.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Your Profile: You hold a Master's degree (Bac+5) in Computer Science, or have significant experience. You have more than 5 years of experience in a DevOps role, with a strong focus on automation and agile methodologies. You have proven experience in leading Scrum projects and facilitating multidisciplinary teams. You are proficient in cloud architectures, particularly Microsoft Azure. You have a good understanding of DevOps tools: Terraform, Ansible, Git, Azure DevOps, Docker, Kubernetes, Helm. You are proficient in monitoring and collaboration tools: Grafana, LogM, Monday, Nautobot, Tuffin, AI C4, PVX.</font></font></p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Title
<br>Pre-Sales Engineer<br><br>Job Scope
<br></span><p>The Pre-Sales Engineer is accountable for advising and coordinating with the Sales team on all technical issues related but not limited to account penetration strategies, pre-sales implementations, solution design and training. S/He is a technical expert building strong relationships with partners and customers and driving the business through multiple technical initiatives.</p><br>
<br><br>Main Duties and Responsibilities
<br><ul>
<li>Act as a subject matter expert in technical/solutions design of the company products/services</li>
<li>Work with the Sales team to develop and implement specific account penetration strategies and achieve set targets</li>
<li>Create specific accounts for product(s), service(s) and sales plans pertaining to the company products/services</li>
<li>Collaborate with the Sales team in qualifying opportunities, supporting and advising on the technical aspect of the sales lifecycle including technical qualification, presentation of solution proposals and high-level designs and demonstrations</li>
<li>Run, manage and drive proof of concepts (POC) and request for proposals (RFP) and close opportunities from a pre-sales and implementation perspective</li>
<li>Build sound relationships with partners and customers in support of sales objectives;</li>
<li>Lead technical sales calls</li>
<li>Manage adoption, integration and value generation of offered products/services within the customer/partner business and related IT infrastructure</li>
<li>Complete required pre-sales documentations in a quick and accurate manner</li>
<li>Develop content, train and support partners and customers</li>
<li>Respond to after-hours support queries during assigned rotations and escalate issues if needed</li>
<li>Put available systems into practice (salesforce.com CRM for leads, opportunity and deal registration management) for output efficiency and standardization.</li>
</ul>
<br><br>Position Requirements
<br><br>Education
<br><p>Bachelor’s degree in Computer Engineering, Computer Science or any other related field.</p><br>
<br><br>Experience
<br><ul>
<li>Minimum 3–5 years of hands-on experience with Cisco products and solutions.</li>
<li>CCNA certification is mandatory.</li>
<li>Proven experience in preparing technical proposals, delivering product demonstrations, and configuring Cisco solutions.</li>
<li>Strong technical knowledge of Cisco networking technologies and best practices.</li>
</ul>
<p>#LI-LM1</p><br><br><br><br>
</div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <ul> <li> <p> <strong><font dir="auto" ><font dir="auto" >As</font></font></strong><font dir="auto" ><font dir="auto" > a Test and Automation Engineer </font></font><strong><font dir="auto" ><font dir="auto" >, your responsibilities will include the following:</font></font></strong> </p> </li> <li><font dir="auto" ><font dir="auto" >Defining a testing strategy</font></font></li> <li><font dir="auto" ><font dir="auto" >The execution of planned tests on the continuous integration environment</font></font></li> <li><font dir="auto" ><font dir="auto" >Reporting on test progress</font></font></li> <li><font dir="auto" ><font dir="auto" >Automation and execution of test scenarios.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analysis of functional specifications.</font></font></li> <li><font dir="auto" ><font dir="auto" >Creating test plans based on functional specifications</font></font></li> <li><font dir="auto" ><font dir="auto" >The execution of automated and manual tests (functional, non-functional, regression)</font></font></li> <li><font dir="auto" ><font dir="auto" >The writing of test reports.</font></font></li> <li><font dir="auto" ><font dir="auto" >The report sends the execution results to the appropriate departments for analysis and decision-making.</font></font></li> <li><font dir="auto" ><font dir="auto" >Support for entities responsible for executing automated scripts</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications </b></p><div> <ul> <li>Vous tes dipl m Bac+5 cole d ing nieur (EMSI, ENSIAS, INSEA, INPT, EMI ) ou master universitaire ;</li> <li><font dir="auto" ><font dir="auto" >Ideally, you have some initial experience in test automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have a good level of English</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Skills and Knowledge Desired</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Knowledge of the following tools: </font></font><strong><font dir="auto" ><font dir="auto" >S l nium, Cypress, Robot Framework, Karate DSL, Postman.</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Good knowledge of software development, preferably with new technologies (Java, Python, .JS, HTML, CSS);</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As an Expert in automated testing, you will be responsible for the implementation and optimization of automated tests to ensure the quality and performance of our proposed software solutions.</p><p>Responsibilities:</p><ul><li>Define and design the overall architecture of test automation (UI, API, Mobile, Performance).</li><li>Implement and maintain automation frameworks (Selenium, Cypress, Playwright, Appium, etc.).</li><li>Support development teams in integrating automated tests into CI/CD pipelines.</li><li>Work with Technical Management to identify and implement innovative testing solutions.</li><li>Actively participate in improving methodologies and evolving testing tools.</li><li>Analyze test results and develop a detailed improvement plan for the team and clients.</li><li>Train and support technical teams on best practices in test automation.</li></ul><p>Required Skills:</p><ul><li>Solid experience in test automation.</li><li>Mastery of automated testing tools: Selenium, Cypress, Robot Framework, PlayWright, Katalon, Apium, ...etc.</li><li>Mastery of WebService tools: SOAPUI, Postman, Karate, ReadyAPI ...etc.</li><li>Knowledge of testing issues and challenges.</li><li>Ability to work in a team and communicate effectively with technical and non-technical stakeholders.</li><li>Analytical and synthesis skills to address optimal and creative solutions.</li><li>Mastery of performance testing and monitoring tools is a plus: JMeter, Gatling, ELK, New Relic, DataDog.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineer degree, BAC+5 in Computer Science</li><li>At least 6 years of experience</li><li>Works in an agile context</li><li>ISTQB certifications are a plus</li></ul><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>OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.</p><p>YOUR ROLE</p><ul><li>To coordinate the front-end of line process industrialization (wafer preparation, laser grooving, wafer sawing, die attach glue/ soft solder/solder paste- glue curing) supporting new products or package and at the same time ensuring quality standards of the new product /process being developed, meeting target milestones or maturity and operating within the defined budget and resources of the scopes.</li><li>To manage all development projects related to Critical product, including new material qualification, process changes and CPI across all the assembly line (perimeter includes either front-end and back-end of line)</li><li>To manage all the assembly-related innovation activities (proof of concept projects/ R&D support activities/ patents/technical papers at plant level) acting as main interface toward GTR&D organization for the plant.</li><li>To lead taskforces for process improvement related to new projects</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>YOUR SKILLS & EXPERIENCES</p><ul><li>Techncial Background: Strong technical knowledge of assembly processes, strategic thinking, leadership, and analytical problem solving.</li><li>Degree of autonomy: High level of autonomy in the technical decision-making process is needed. Interaction with N+1, N+2, N+3 are mainly for strategic alignment or project review.</li><li>Managerial responsibility: this role includes leading and managing a team of engineers, providing guidance, support, and mentorship to ensure high performance and professional development.</li><li>Minimum 5 years experience related to semiconductor, electronics and automotive domain</li><li>Knowledge with MS office/ PowerBI</li><li>Strong Knowledge in Statistical Tools and Software</li><li>English business proficiency</li><li>PMP certified, Six Sigma certified are advantage</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.</i></p><br><br><br><p><span>Job Category</span></p><br><br>Sales<br><p><span>Job Details</span></p><br><br><br><p><span><b><b>About Salesforce</b></b></span></p><br><br><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.</p><br><br><br><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.</p><br><br><br><br><br><p><span>We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.</span></p><br><br><br><p>About the Role</p><br><br><p>Production experience required. Builder mindset non-negotiable.</p><br><br><p><span>Salesforce is hiring Forward Deployed Engineers — experienced </span>Technical Builders<span> who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (</span>Strategic Builder<span> - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment — shipping solutions customers depend on.</span></p><br><br><br><p>The Builder Experience</p><br><br><ul><li><p>AI-Powered Development:<span> Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow.</span></p><br><br></li><li><p>Collaborative Delivery:<span> You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.</span></p><br><br></li><li><p>Frontier Access:<span> Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them. </span></p><br><br></li><li><p>Continuous Innovation:<span> You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.</span></p><br><br></li></ul><br><p>What You'll Actually Be Building</p><br><br><ul><li><p><span>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.</span></p><br><br></li><li><p><span>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.</span></p><br><br></li><li><p><span>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.</span></p><br><br></li><li><p><span>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output</span></p><br><br></li><li><p><span>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.</span></p><br><br></li><li><p><span>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.</span></p><br><br></li><li><p><span>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.</span></p><br><br></li><li><p><span>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.</span></p><br><br></li><li><p><span>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.</span></p><br><br></li></ul><br><p>You're Our Forward Deployed Engineer If…</p><br><br><ul><li><p><span>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models</span></p><br><br></li><li><p><span>You have a degree in Computer Science or a related field</span></p><br><br></li><li><p><span>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.</span></p><br><br></li><li><p><span>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.</span></p><br><br></li><li><p><span>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.</span></p><br><br></li><li><p><span>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.</span></p><br><br></li><li><p><span>You can hold your own in a room with sales teams and customer architects.</span></p><br><br></li><li><p><span>You ship quality code and evaluate AI outputs with engineering rigor.</span></p><br><br></li><li><p><span>You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.</span></p><br><br></li><li><p><span>You thrive in the group chat that's building something, not just talking about it.</span></p><br><br></li><li><p><span>You're excited to travel ~25% of the time, working directly alongside customers.</span></p><br><br></li></ul><br><p>Nice-to-Haves</p><br><br><ul><li><p><span>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)</span></p><br><br></li><li><p><span>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns</span></p><br><br></li><li><p><span>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)</span></p><br><br></li><li><p><span>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments</span></p><br><br></li></ul><br><br><br><br><p><span>Unleash Your Potential</span></p><br><br><p><span>When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and</span><i>be your best</i><span>, and our AI agents accelerate your impact so you can</span><i>do your best</i><span>. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.</span></p><br><br><br><p><span>Accommodations</span></p><br><br><p><span>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this </span><span><u><span>Accommodations Request Form</span></u></span><span>.</span></p><br><br><br><p><span>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our </span><span><u><span>Candidate Privacy Statement</span></u></span><span> for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.</span></p><br><br><br><br><p><span>Posting Statement</span></p><br><br><p><span><span>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. </span></span>Know your rights: workplace discrimination is illegal.<span><span> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</span></span></p><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><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: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Become the AI & Automation Rockstar at Infomineo!<br> Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate?<br> Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research & Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele.<br> Why Infomineo?<br> Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success.<br> Become an AI & Automation Guru: We foster continuous learning.<br> Expect to stay on top of the latest advancements and actively propose and implement improvements.<br> Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents.<br> Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude.<br> You'll be encouraged to contribute your ideas and make a real difference in the company's growth.<br> Does this sound like your dream role?<br> Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems.<br> Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing.<br> Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments.<br> Deep understanding of the software engineering fundamentals required to build frameworks for AI.<br> Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines.<br> Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments.<br> Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments.<br> Conceptual understanding of modern infrastructure ecosystems (e.<br>g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team.<br> Experience integrating complex third-party SaaS APIs.<br> Ready to join the revolution?<br> We offer: A competitive compensation and benefits package.<br> The opportunity to make a real impact on a global scale.<br> A dynamic and supportive work environment that values your contributions.<br> Continuous learning and professional development opportunities to propel your career forward.<br> Show us what you've got!<br> Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>
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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>As part of this role, the DevOps engineer will be responsible for:</p><br><br><ul><li>Analyzing, designing, and developing <strong>CI/CD</strong> solutions for <strong>Java/Angular</strong> applications within the <strong>Legisway</strong> project.</li><li>Implementing <strong>CI/CD pipelines</strong> and configuring associated environments.</li><li>Managing the <strong>migration of CI/CD processes</strong> to <strong>Bamboo</strong>, and then to <strong>GitHub</strong>, while minimizing disruption.</li><li>Integrating pipelines with <strong>security</strong> tools (SonarQube, BlackDuck) for source code analysis and quality control.</li><li>Preparing and maintaining the necessary <strong>technical documentation</strong> for client delivery.</li></ul> <br> Required profile : <p>Skills:</p><br><br><ul><li><strong><em>CI/CD Tools</em></strong><em>: Bamboo, GitHub, ArgoCD</em></li><li><strong><em>Code Management</em></strong><em>: BitBucket, GitHub</em></li><li><strong><em>Orchestration</em></strong><em>: Kubernetes</em></li><li><strong><em>Project Management</em></strong><em>: Jira, Confluence</em></li><li><strong><em>Security and Quality</em></strong><em>: SonarQube, BlackDuck, JFrog</em></li><li><em><strong>Frameworks</strong>: Knowledge of Java/Angular stacks</em></li><li><em><strong>Experience</strong>: Minimum 5 years as a DevOps/CI/CD engineer, with proven experience in <strong>pipeline migration</strong> and security tool integration.</em></li><li><em><strong>Languages</strong>: English</em></li></ul><p>:</p><br><br><br> <br><br> </div>
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Company culture : <p><strong>Capgemini Engineering</strong> is characterized by a strong <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach supports guidance, empowerment and talent development within a caring environment. This dynamic is reinforced by a significant <strong>innovation dimension</strong>, encouraging creativity, initiative and experimentation to deliver high-value solutions. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>competitive component</strong> sustains a balanced performance mindset.
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<br> Job : <p>As a CSV Engineer, your main responsibilities will be:</p><br><br><ul><li>Ensure the validation of computerized systems (CSV) in compliance with pharmaceutical regulatory requirements (GxP, FDA, EMA)</li><li>Apply the Validation Lifecycle according to the V-Model</li><li>Implement a Risk-Based Approach</li><li>Write and manage validation documentation:<ul><li>Validation Plan</li><li>IQ / OQ / PQ Protocols</li><li>Validation Reports</li></ul></li><li>Analyze and formalize requirements:<ul><li>URS (User Requirements Specifications)</li><li>FS (Functional Specifications)</li><li>DS (Design Specifications)</li></ul></li><li>Participate in the qualification of systems (equipment, software, automated systems)</li><li>Collaborate with quality, IT, production, and automation teams</li></ul> <br> <br> Required profile : <p> CSV Engineer - Pharma Basic education level BAC +5 Specialization Industrial engineering, automation, industrial IT, or equivalent Junior to confirmed experience (1 to 5 years) Skills</p><br><br><ul><li>Good command of computerized system validation in a GxP environment</li><li>Knowledge of standards: GAMP 5, 21 CFR Part 11</li><li>Experience in IQ / OQ / PQ qualification</li><li>Mastery of documentation: URS, FS, DS, validation plans, and reports</li><li>Understanding of automated and computerized systems in the pharmaceutical industry</li><li>Attention to detail, traceability, and regulatory compliance</li><li>Analytical and risk management skills</li><li>Good interpersonal skills and teamwork</li></ul><p>Languages French: fluent English: professional</p><br><br> <br><br> </div>