Artificial Intelligence Engineer Jobs in Morocco

<p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From self-driving cars to life-saving robots, our digital and software technology experts are pushing boundaries by providing unique R&amp;D and engineering services across all sectors. Join us for a career full of opportunities, where you can make a difference and no two days are the same.</p><p>About the position: We are looking for a Packaging Design Engineer (CAD Packaging Engineer) to join our Casablanca team. You will be responsible for the design and optimization of packaging solutions using CAD tools, while ensuring cost control, optimization of logistics flows, and compliance with quality requirements.</p><p>Job missions: • Conduct packaging studies and propose optimized solutions using CAD design tools. • Design and improve packaging concepts considering technical, logistical, and economic constraints. • Analyze packaging costs and identify optimization levers. • Reduce packaging waste and optimize transport volumes. • Ensure the compliance of deliverables with quality standards and applicable regulations. • Collaborate with project teams to support product development and industrialization. • Participate in continuous improvement initiatives related to packaging and industrial performance.</p><p>Your profile: • Bachelor's degree (Bac+3) in Mechanical Engineering, Design, Packaging, or a related field. • First experience (up to 2 years) in packaging, mechanical design, or an industrial environment. • Good knowledge of packaging design and optimization methods. • Proficiency in CATIA V5/V6 tools and knowledge of PLM environments. • Ability to solve technical problems and propose pragmatic solutions. • Analytical, organizational, and rigorous mindset. • Good communication skills in French and English. • Team spirit, autonomy, and results-oriented.</p><p>A few reasons to join us: Quality of work life: Possibility of remote work in Morocco and internationally, and autonomy in organizing your daily life, hybrid missions according to your preferences. Continuous learning: access to dedicated training and certifications for your technology, personalized support, and structured integration path. Diverse and high-impact projects: work with major clients in various sectors with stimulating business and technological challenges.</p><p>Our commitments and priorities: The Capgemini Group promotes an inclusive culture in a multicultural and disability-friendly environment. By joining us, you become part of a collective that values diversity, develops the potential of its talents, engages in solidarity initiatives with its partners, and is committed to reducing its environmental impact across all its sites and with its clients. Capgemini is a responsible and multicultural global leader, bringing together nearly 300,000 people in over 50 countries. With 55 years of experience, we are a strategic partner for companies in transforming their activities by leveraging the full power of technology and innovation in constantly evolving fields such as cloud, data, Artificial Intelligence, connectivity, software, digital engineering, or platforms.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bac+3 in Mechanical Engineering, Design, Packaging, or a related field.</li><li>First experience (up to 2 years) in packaging, mechanical design, or an industrial environment.</li><li>Good knowledge of packaging design and optimization methods.</li><li>Proficiency in CATIA V5/V6 tools and knowledge of PLM environments.</li><li>Ability to solve technical problems and propose pragmatic solutions.</li><li>Analytical, organizational, and rigorous mindset.</li><li>Good communication skills in French and English.</li><li>Team spirit, autonomy, and results-oriented.</li></ul>

<p>Participate in the execution of design, geometric definition change, instrumentation, or production support projects. Assume all tasks entrusted or delegated to them, within or outside a project framework, by the project manager. - Participate in the costing of activities to be carried out - Evaluate project risks and propose actions to minimize them, - Participate in project launch, - Anticipate and report any project or non-project inconsistencies or anomalies, - Ensure the quality/deadline compliance of tasks assigned to them, - Ensure the control and verification of deliverable compliance, - Communicate with the project team. - Ensure deadlines are met - Ensure the application of client standards and methodologies - Ensure the availability of material resources enabling them to perform their tasks - Report information (qualitative or quantitative) and alert the project manager in case of project deviation - Respect HSE instructions while adopting the necessary attitudes - Report any potential risk that could affect their own HSE and possibly that of their colleagues</p><p><strong>Desired Candidate Profile</strong></p><p>Engineer in the technical field, preferably mechanical, in mechanical manufacturing. In-depth knowledge of mechanical design and manufacturing. Mastery of industrial drawing standards. Knowledge of design tools: Catia V5, Catia V4, CADDS or other CAD tools. The position requires the ability to: Organize the different work stages with a method. Knowledge of EN9100. Knowledge of the SAFRAN environment and documentation. Knowledge of the corrective and preventive action identification and treatment cycle. Ability to interpret and exploit technical information and/or data. Ability to analyze the risks of a situation. Rigor, Organization, Diagnostic ability, Synthesis ability, Writing skills, Argumentation skills, Interviewing, meeting facilitation, Listening and reformulation skills, Oral and written reporting synthesis.</p>

<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><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 &amp; Responsibilities</p><div class="paragraph"><p>Participate in mechanical design (CAD/CAM). Produce technical drawings and 2D/3D models. Follow manufacturing and production processes. Contribute to the continuous improvement of industrial methods. Participate in equipment maintenance. Control the quality of manufactured parts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Diploma in Mechanical Engineering (DUT / DEUT / Licence)</li><li>Proficiency in at least one CAD software: CATIA / SolidWorks / AutoCAD</li><li>Knowledge of: Machining (CNC, turning, milling)</li><li>Reading of plans</li><li>Metrology / quality</li><li>Team spirit, motivation, and rigor</li><li>Ideal profile: Young graduate or 0-2 years of experience</li><li>Interest in industry / production / design</li><li>Ability to learn quickly</li></ul><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>As part of this role, your main responsibilities will be:</p><br><br><p><strong>A. Design &amp; Technical Definition</strong></p><br><br><ul><li>Define the <strong>3D interfaces, volumes, and architectures</strong> of mechanical systems.</li><li>Write <strong>technical specifications</strong> for supplier requests.</li><li>Validate the <strong>2D/3D data and interface drawings</strong> provided by subcontractors.</li></ul><p><strong>B. Validation &amp; Finalization</strong></p><br><br><ul><li><strong>Finalize the 3D model</strong> (integrating supplier contributions).</li><li>Check for <strong>lack of interference</strong> and correct geometric conflicts.</li><li>Validate <strong>points raised in technical reviews</strong> and close corrective actions.</li><li><strong>Finalize the definition file</strong> (2D drawings, DMA, PLM) for transmission to manufacturing.</li><li><p><strong>C. Manufacturing Preparation</strong></p><br><br></li><li>Validate the <strong>installation and detail drawings</strong> for production.</li><li>Ensure all <strong>designs are compatible</strong> with manufacturing processes.</li><li><p><strong>D. Support &amp; Problem Solving</strong></p><br><br></li><li><strong>Support the Methods teams</strong> during assembly/prototyping phases.</li><li><strong>Report technical problems</strong> and propose <strong>corrective solutions</strong>.</li><li>Participate in <strong>follow-up meetings</strong> with project teams and suppliers.</li></ul> <br> Required profile : <p><strong>Education:</strong> Engineering degree or equivalent in mechanical engineering, industrial design, or aeronautics.</p><br><br><p><strong>Experience:</strong> 3 to 5 years in mechanical design (rail/industrial sector is a plus).</p><br><br><p><strong>Skills:</strong></p><br><br><p><strong>Technical Skills</strong></p><br><br><p>Proficiency in CATIA V5/V6 (or EHI), creating complex models.</p><br><br><p>Use of DMA, PLM, and DOORS for traceability and requirements.</p><br><br><p>Knowledge of rail/aeronautic standards (e.g., EN 45545, NF F00-100).</p><br><br><p>Understanding of manufacturing processes and assembly constraints.</p><br><br><p>Experience working with Methods, Quality, and Suppliers.</p><br><br><p><strong>Soft Skills</strong></p><br><br><ul><li>Technical leadership</li><li>Rigor and analytical thinking</li><li>Cross-functional communication</li><li>Autonomy and solution-oriented</li></ul><p><strong>Languages</strong></p><br><br><ul><li>Fluent French</li><li>Technical English</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>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 &amp; Responsibilities</p><div class="paragraph"><p>You will have the opportunity to develop your skills on the most innovative technologies, tools, and methodologies.</p><p>Your main missions:</p><ul><li>Collaborate with DevOps/SRE teams to automate Cloud environments using CI/CD pipelines and Infrastructure as Code (IaC).</li><li>Design and implement automated, secure, scalable, and performant deployment solutions.</li><li>Propose technical solutions adapted to client issues.</li><li>Operate and maintain the Image Factory platform, mainly in a Microsoft Azure environment.</li><li>Design and maintain automated image creation pipelines with Packer, Ansible, and GitHub Actions.</li><li>Create, update, and publish Windows and Linux images in Azure Compute Gallery.</li><li>Apply system updates, security patches, and configuration changes to reference images (Golden Images).</li><li>Diagnose image generation failures and improve pipeline reliability.</li><li>Collaborate with Cloud, Security, and Platform Engineering teams to provide standardized images.</li><li>Ensure image version management, testing, and lifecycle management.</li><li>Participate in the continuous improvement and automation of the Image Factory platform.</li><li>Utilize Artificial Intelligence-based solutions to optimize the Image Factory platform.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Master's degree or equivalent in computer science or a related field.</p><p>Minimum of 3 years of experience in designing, deploying, and administering Azure Cloud solutions.</p><p>Experience with AWS or GCP is an asset.</p><h2>Technical Skills</h2><ul><li>Scripting Languages: Python, Bash, Shell, PowerShell</li><li>Cloud: Excellent mastery of Microsoft Azure</li><li>Infrastructure as Code: Terraform, CloudFormation, Ansible, Packer</li><li>Systems: Linux, Windows Server</li><li>Hardening (Security Hardening)</li><li>Patch Management</li><li>CI/CD: GitHub, GitLab, Jenkins</li><li>Containers: Docker, Kubernetes</li><li>Version Control: Git</li><li>Project Management: Jira, Confluence</li><li>Methodology: Scrum</li></ul><h2>Desired Qualities</h2><ul><li>Excellent analytical and design skills for complex Azure architectures.</li><li>Experience with Agile methodologies.</li><li>Fluent English proficiency.</li><li>Good communication and client needs understanding skills.</li><li>Leadership, initiative, and team spirit.</li><li>Strong adherence to Cloud culture and a desire to promote its benefits.</li></ul><p>If you possess the majority of these skills, we would be delighted to offer you a permanent contract and support you in your professional development.</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>The passionate and innovative Artificial Intelligence Specialist will be able to design and deploy advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate will have in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions adapted to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic biases and propose innovative solutions to reduce them.</li><li>Ensure technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in the adoption of developed solutions.</li></ul> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering, AI, or software development</p><br><br><p><strong>Required experience:</strong></p><br><br><ul><li>Minimum 8 years of experience in the field of AI, including development and deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions.</li></ul><p><strong>Required technical skills:</strong></p><br><br><ul><li>Programming expertise (Python mandatory; C or Java is a plus).</li><li>Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Strong knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end AI project management.</li></ul><p><strong>Personal qualities sought:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to explain technical concepts in simple terms.</li><li>Ethical awareness and commitment to responsible practices in the field of AI.</li></ul><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 passionate and innovative Artificial Intelligence Specialist, capable of designing and deploying advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate has in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions tailored to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic bias and propose innovative solutions to reduce it.</li><li>Ensure technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in adopting the developed solutions.</li></ul> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering, AI, or software development</p><br><br><p><strong>Required experience:</strong></p><br><br><ul><li>Minimum 5 years of experience in the field of AI, including development and deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions</li></ul><p><strong>Required technical skills:</strong></p><br><br><ul><li>Programming expertise (Python mandatory; C or Java is a plus).</li><li>Mastery of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Solid knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end management of AI projects.</li></ul><p><strong>Desired personal qualities:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to simplify technical concepts.</li><li>Ethical awareness and commitment to responsible practices in AI.</li></ul><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>CGI Technologies and Solutions Morocco</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This dynamic is reinforced by a structured <strong>organizational culture</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by an <strong>innovation dimension</strong> that encourages adaptability and initiative, while a more moderate <strong>competitive component</strong> supports a balanced results-driven mindset. </p><br><br> <br> Job : <p>We are looking for a Site Reliability Engineer (SRE) passionate about automation, system reliability, and artificial intelligence technologies applied to IT operations (AIOps).</p><br><br><p>In this role, you will be responsible for the availability, performance, scalability, and resilience of production platforms. You will contribute to the transformation of operations towards a proactive and predictive model through the use of AIOps solutions, advanced automation, and modern observability.</p><br><br><p>You will work closely with development, operations, support, and incident management teams to continuously improve service quality and user experience.</p><br><br><p><u><strong>Functions and Responsibilities:</strong></u></p><br><br><p><br><strong>System Reliability and Performance</strong></p><br><br><ul><li>Design, deploy, and maintain reliable, scalable, and secure infrastructures and applications.</li><li>Define and manage reliability indicators (SLIs), service level objectives (SLOs), and error budgets.</li><li>Ensure proactive monitoring of platforms and guarantee their availability.</li><li>Analyze system performance and implement necessary improvements.</li></ul><p><br><strong>Observability and Monitoring</strong></p><br><br><ul><li>Develop and improve observability solutions based on metrics, logs, and traces.</li><li>Implement dashboards and indicators for real-time monitoring of service status.</li><li>Identify trends and weak signals to anticipate incidents.</li></ul><p><br><strong>AIOps and Automation</strong></p><br><br><ul><li>Implement AIOps solutions for anomaly detection, predictive analysis, and operations automation.</li><li>Develop self-remediation mechanisms for recurring incidents.</li><li>Automate operational processes through Infrastructure as Code (IaC), CI/CD pipelines, and remediation workflows.</li><li>Leverage artificial intelligence and machine learning models to improve alert quality and reduce operational noise.</li><li>Integrate AIOps platforms with ITSM tools to automate ticket creation and routing.</li></ul><p><br><strong>Incident Management and Continuous Improvement</strong></p><br><br><ul><li>Participate in major incident management and coordinate resolution actions.</li><li>Conduct post-incident analyses and continuous improvement initiatives.</li><li>Collaborate with Support teams (L1, L2, L3) and Problem Managers to reduce recurring incidents.</li><li>Promote SRE, DevOps, and AIOps best practices within the organization.</li></ul><p><br><strong>Support and Expertise</strong></p><br><br><ul><li>Contribute to the skill development of technical teams.</li><li>Evaluate and integrate new automation, observability, and artificial intelligence tools.</li><li>Participate in innovation initiatives aimed at strengthening operational efficiency.</li></ul> <br> <br> Required profile : <p><u><strong>Technical Skills</strong></u></p><br><br><ul><li>Minimum 5 years of experience in Site Reliability Engineering, DevOps, or critical systems operations.</li><li>Solid experience with Cloud environments, ideally Microsoft Azure.</li><li>Proficiency in containerization and orchestration technologies (Docker, Kubernetes).</li><li>Experience with CI/CD tools such as Git, GitLab, and Jenkins.</li><li>Good knowledge of Infrastructure as Code solutions (Terraform, Ansible, or equivalent).</li><li>Hands-on experience with observability and monitoring tools (Grafana, Prometheus, Splunk).</li><li>Knowledge of AIOps platforms and intelligent monitoring (ServiceNow AI, Dynatrace, Datadog, or equivalent).</li><li>Excellent scripting or development skills (Python, Java, or similar language).</li><li>Good understanding of distributed architectures, networking, and system performance.</li></ul><p><strong>Behavioral Skills</strong></p><br><br><ul><li>Strong analytical and complex problem-solving abilities.</li><li>Proactive approach focused on continuous improvement.</li><li>Innovative spirit and interest in artificial intelligence technologies applied to operations.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in cross-functional and multicultural environments.</li><li>Service-oriented and customer-focused.</li><li>Ability to support and mentor technical teams.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> About this role This role will give you the opportunity to design and shape the technical foundation of our Analytics &amp; AI practice, working on high-impact client engagements across industries.<br> As our Analytics &amp; AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI — defining the standards, frameworks, and architectures that our teams build upon.<br> What will you do?<br> Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment: ARCHITECTURE &amp; DESIGN Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines.<br> Define standards for data modeling, storage, ingestion, and transformation across client engagements.<br> Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring).<br> Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.<br> TEAM ENABLEMENT Define best practices and reusable frameworks for data engineers, analysts, and data scientists.<br> Act as a technical mentor and reviewer for cross-functional project teams.<br> Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects.<br> Contribute to internal knowledge base, toolkits, and delivery accelerators.<br> CLIENT ENGAGEMENT Lead architecture workshops and discovery sessions with client stakeholders.<br> Translate business requirements into scalable, robust technical blueprints.<br> Present architecture decisions to both technical teams and executive audiences.<br> Support pre-sales and proposal efforts with technical scoping and solution design.<br> OTHER Provide internal training and knowledge-sharing sessions with the team.<br> Support the Head of Practice on business development and internal capability initiatives.<br> Who are you?<br> EDUCATION &amp; PROFESSIONAL EXPERIENCE Master’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field.<br> Full proficiency in English + 1 additional language (French, Arabic, Spanish, German.<br>..). 6+ years of technical experience in data architecture or a closely related field.<br> Proven track record in a consulting or multi-client services environment.<br> TECHNICAL SKILLS DATA ARCHITECTURE &amp; PLATFORMS Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift).<br> Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation.<br> Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent.<br> Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming).<br> AI &amp; ML INFRASTRUCTURE Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalent.<br> Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection.<br> Exposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines).<br> DATA ENGINEERING &amp; DEPLOYMENT Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent.<br> Proven hands-on experience with container technologies: Docker, Kubernetes.<br> Proven hands-on experience with versioning software: Git, GitHub, GitLab.<br> Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud.<br> GOVERNANCE &amp; STANDARDS Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management.<br> Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design.<br> INTERPERSONAL SKILLS Ability to step back, analyze complex problems, define architectural options, and drive decisions.<br> Strong ability to work and collaborate with a variety of stakeholders across technical and business functions.<br> Excellent communication skills with the ability to translate complex technical architectures into clear business implications.<br> High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously.<br> What we offer A competitive salary.<br> A great working environment.<br> A steep learning curve with interesting and diverse topics to work on.<br> A healthy work-life balance.<br> Health insurance benefits.<br> Equal opportunity employer Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).<br> If you believe you match our requirements and values, we would be happy to hear from you.<br> Visit our website to know more about us, our services and company culture.<br></span> </div>

<p>Support in production, Treatment of derogations: provide technical advice on non-compliant engine parts.</p><p><br></p><ul ><li >In-depth knowledge of mechanical design and manufacturing processes.</li><li >Knowledge of RDM (resistance of materials)</li><li >Mastery of industrial drawing standards, functional dimensioning and geometric tolerancing.</li><li >Knowledge of CAD tools: CATIA V5</li><li >Knowledge of mechanical calculation tools: Patran / Ansys</li><li >Ability to analyze and synthesize mechanical design issues.</li><li >Ability to write reports, technical notes and training materials.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><br></li></ul>

<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>A passionate and innovative Artificial Intelligence expert, capable of designing and deploying advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate has in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main Responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions tailored to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic bias and propose innovative solutions to reduce it.</li><li>Maintain technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in adopting the developed solutions.</li></ul> <br> <br> Required profile : <p>A graduate with a Master's degree (Bac+5) in Computer Engineering</p><br><br><p><strong>Required Technical Skills:</strong></p><br><br><ul><li>Expertise in programming (Python mandatory; C or Java is a plus).</li><li>Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Strong knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end management of AI projects.</li></ul><p><strong>Desired Personal Qualities:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to explain technical concepts clearly.</li><li>Ethical awareness and commitment to responsible practices in AI.</li></ul><p><strong>Required Experience:</strong></p><br><br><ul><li>Minimum 9 years of experience in the AI field, including development and production deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions.</li></ul> <br><br> </div>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential. From autonomous cars to life-saving robots, our experts in digital and software technologies think outside the box by providing unique R&amp;D and engineering services across all sectors. Join us for a career full of opportunities, where you can make a difference and where no day is the same.</p><p>About the position: As part of our industrial projects, we are looking for a Structural Steel Calculation Engineer. You will be responsible for carrying out and/or verifying pre-dimensioning and dimensioning studies of metallic structures, ensuring the compliance of calculations with current standards and the robustness of the proposed technical solutions.</p><p>Job missions:</p><ul><li>Perform design, pre-dimensioning, and dimensioning studies of metallic structures such as steel frames and/or secondary supports.</li><li>Perform steel frame calculations during the execution phase.</li><li>Perform calculations for piping supports, cable tray supports, and ventilation duct supports (HVAC), taking into account the forces transmitted by the supported networks.</li><li>Perform anchorage calculations for metallic structures (base plates/supports).</li><li>Apply current calculation references and standards, particularly Eurocodes 2, 3, and 8, as well as applicable project requirements.</li><li>Produce hypothesis notes, calculation notes, and supporting documents.</li><li>Analyze the coherence of input data, identify open technical points, and alert on potential impacts in design, manufacturing, or assembly.</li><li>Propose robust technical solutions integrating site constraints, manufacturing, assembly, and interfaces with other disciplines such as piping, HVAC, electricity, general installation, and civil engineering.</li><li>Provide technical support to designers/drafters and contribute to the review of plans, calculation notes, and associated deliverables.</li></ul><p>Some reasons to join us:</p><ul><li>Quality of work life: Possibility of remote work in Morocco as well as internationally and autonomy in organizing your daily life, hybrid missions according to your preferences.</li><li>Continuous learning: access to dedicated training and certifications for your technology, personalized support, and an integration program.</li><li>Varied and high-impact projects: work with major clients in diverse sectors with stimulating technical and technological challenges.</li></ul><p>Our commitments and priorities:</p><p>The Capgemini Group encourages an inclusive culture in a multicultural and disability-friendly environment. By joining us, you become part of a collective that values diversity, develops the potential of its talents, engages in solidarity initiatives with its partners, and is committed to reducing its environmental impact across all its sites and with its clients.</p><p>Capgemini is a global, responsible, and multicultural leader, bringing together nearly 350,000 people in over 50 countries. With 55 years of experience, we are a strategic partner for companies in the transformation of their activities by leveraging the full power of technology and innovation in constantly evolving fields such as cloud, data, Artificial Intelligence, connectivity, software, digital engineering, or platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Your profile:</h2><ul><li>Graduated from an engineering school or holding a Master's degree in Civil Engineering, structural calculation, or equivalent discipline.</li><li>Significant experience in structural calculation, ideally in the industrial and energy sectors.</li><li>Solid knowledge of metallic structures and structural mechanics.</li><li>Proficiency in Eurocodes 2, 3, and 8, and Strength of Materials (RDM).</li><li>Good knowledge of codes and calculation methods applicable to metallic structures.</li><li>Proficiency in at least one structural calculation software such as Robot Structural Analysis, Advance Design, or RSTAB.</li><li>Transversal knowledge in civil engineering.</li><li>Good command of office tools (Excel, Word, PowerPoint, Outlook).</li></ul><p></p></section>

<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></span><p><span><span>RIBATIS</span></span><span><span><span>&nbsp;, Opérateur de la transformation digitale dans le domaine du&nbsp;</span></span></span><span><span>#eGOV</span></span><span><span><span>,&nbsp;cherche à&nbsp;</span></span></span><span><span>#Recruter</span></span><span><span><span>&nbsp;un </span></span></span><span><span>#INGENIEUR</span><span>#CONCEPTION</span><span><span>&amp;</span></span><span>#DEVELOPPEMENT</span><span># BI</span><span><span> &amp; </span></span><span>#ML</span></span><span><span><span>/ </span></span><span>#DL</span></span><br></p><br><p><b><span><span><span>- Missions</span></span></span></b><span><span><span> :</span></span></span><br></p><br><p><span><span><span>·</span></span></span><span>Concevoir <b>une solution d’environnement d’aide à la décision</b> après avoir mis en place des réunions/workshops avec les différents acteurs (systèmes sources, équipes de production, utilisateurs) afin de définir clairement <b>les besoins/contraintes de chacun&nbsp;</b>;</span><br></p><br><p><span><span><span>·</span></span></span><span>Maintenir et faire évoluer <b>l’environnement décisionnel adopté&nbsp;</b>;</span><br></p><br><p><span><span><span>·</span></span></span><span>Coordonner <b>les différents acteurs</b> (utilisateurs, équipe métier, équipe développement, …etc.)&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Définir <b>les choix techniques</b> en termes de produit en fonction des applicatifs existants et projetés&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Concevoir <b>l’architecture d’un entrepôt de données décisionnel</b> (datawarehouse)&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Définir <b>les solutions de stockage et la structuration des données</b> au sein d’un modèle&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Déterminer <b>les outils d’acquisition de données depuis un ensemble de bases </b>fonctionnellement et techniquement hétérogènes&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Déployer <b>les outils d’extraction de données</b> en recherchant la pérennité, la fiabilité et l'évolutivité de ces outils&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Étudier et mettre en place <b>les meilleures solutions techniques</b> pour gérer les gros volumes de données&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Rédiger <b>les règles (guidelines) pour la bonne mise en œuvre des technologies ETL&nbsp;</b>;</span><br></p><br><p><span><span><span>·</span></span></span><span>Réaliser <b>les tests et recette techniques </b>pour vérifier l’alimentation et la cohérence des données&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Réaliser <b>le recueil et la définition des besoins</b> utilisateurs&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Rédiger <b>les cahiers des charges</b> formalisant les besoins des métiers et les spécifications fonctionnelles&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Organiser <b>les réunions de validation</b> et hiérarchiser <b>les besoins</b> (Besoins communs, spécifiques, degré d'urgence, …etc.)&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Définir <b>les règles d'utilisation des technologies décisionnelles</b> (Use cases, Arbres de décision, ...etc.)&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Exploiter et valoriser <b>les données</b> en utilisant les techniques statistiques et/ou les algorithmes machine learning et deep learning&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Concevoir <b>les indicateurs</b> et les calculer (en construisant des tables de type datamart) en collaboration avec les responsables métier&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Développer <b>les « univers », les rapports et les états de sortie statistiques</b>&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Intégrer <b>les nouvelles données</b> dans les dashboards et reportings existant&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Réaliser <b>la recette technique et fonctionnelle des applicatifs décisionnels</b> produits&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Définir <b>les outils de reporting dynamique</b> (OLAP, bases multidimensionnelles) et self-service business intelligence&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Assurer <b>la formation des utilisateurs</b> à l’utilisation des outils décisionnels&nbsp;;</span><br></p><br><p><span><span><span>·</span></span></span><span>Assurer <b>la présentation des données</b> lors des comités de suivi et de pilotage.</span><br></p><br><p><span><span><span>---------------------</span></span></span><span><br> <span><span>Pour toute personne intéressée, prière de nous adresser vos candidatures sur&nbsp;</span></span></span><span><span>rh@ribatis.com</span></span><span><span><span>&nbsp;en précisant au niveau de l'objet de l'émail l'offre pour laquelle vous postulez.</span></span></span></p><br><p><span><span>#Hiring</span></span><span>#Ingenieur_Conception_Developpement</span><span>&nbsp;<u><span>#Ingenieurconceptiondeveloppement</span></u></span><span>#ICD</span><u><span><span> #Business_Intelligence</span></span></u><span><span> <u>#Businessintelligence</u> <u>#Machine_Learning</u> <u>#Machinelearning</u> <u>#Deep_Learning</u> <u>#Deeplearning</u> <u>#IT</u></span></span><br></p><br><br><span>Profil</span><p><b><span><span><span>- Formation initiale</span></span></span></b><span><span><span> : BAC+5 en IT, Spécialité BI &amp; ML &amp; DS</span></span></span><br></p><br><p><b><span><span><span>- Expérience</span></span></span></b><span><span><span> : Au moins une année probante dans un poste équivalent.</span></span></span><br></p><br><p><b><span><span><span>- Savoir-être</span></span></span></b><span><span><span> : Une personne</span></span></span><br></p><br><p><span></span></p> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential. From autonomous cars to life-saving robots, our digital and software technology experts push boundaries by providing unique R&amp;D and engineering services across all sectors. Join us for a career full of opportunities, where you can make a difference and no two days are the same.</p><p>As part of our business development in the automotive sector, we are looking for a Full Stack Engineer passionate about new technologies and innovation.</p><p><strong>Your missions</strong></p><ul><li>Design, develop, and maintain web applications and platforms dedicated to automotive projects.</li><li>Develop high-performance and intuitive user interfaces.</li><li>Design and maintain back-end services and APIs.</li><li>Participate in the integration of cloud solutions and databases.</li><li>Collaborate with third-party teams, software, testing, and vehicle engineering teams.</li><li>Ensure the quality, security, and performance of applications.</li><li>Participate in code reviews and continuous improvement processes.</li></ul><p><strong>Why join us?</strong></p><ul><li>Innovative projects in the automotive industry</li><li>International and collaborative environment</li><li>Professional development opportunities</li><li>Continuous training and skills development</li></ul><p><strong>Our commitments and priorities:</strong></p><p>The Capgemini Group promotes an inclusive culture in a multicultural and disability-friendly environment. By joining us, you will become part of a collective that values diversity, develops the potential of its talents, engages in solidarity initiatives with its partners, and is committed to reducing its environmental impact across all its sites and with its clients.</p><p>Capgemini is a responsible and multicultural global leader, bringing together nearly 350,000 people in over 50 countries. With 55 years of experience, we are a strategic partner for companies in their business transformation by leveraging the full power of technology and innovation in constantly evolving fields such as cloud, data, Artificial Intelligence, connectivity, software, digital engineering, or platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineering degree or Master's degree (Bac+5) in Computer Science, Software Engineering, or equivalent field.</li><li>Proven experience in Full Stack development.</li><li>Proficiency in Front-End technologies: React, Angular, or Vue.js, HTML5, CSS3, JavaScript/TypeScript.</li><li>Proficiency in Back-End technologies: Java, .NET, Node.js, or Python.</li><li>Good knowledge of SQL and/or NoSQL databases.</li><li>Experience in developing REST APIs and microservices architectures.</li><li>Knowledge of Cloud environments (Azure, AWS, or GCP).</li><li>Experience in the automotive sector is a plus.</li><li>Good level of communication in French and English.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>What makes us Qlik?</strong><br><span>A </span><span>Gartner® Magic Quadrant™ Leader for 15 years in a row</span><span>, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. </span><br><span>We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.</span><br><strong>The AI Systems Engineer Role</strong><br><br><span>As an AI Systems Engineer on Qlik’s AI Practice team, you will own the infrastructure, deployment, and reliability of production-grade agentic AI systems that power the next generation of intelligent automation at Qlik. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will operate at the intersection of cloud infrastructure engineering and AI systems, provisioning, securing, and scaling the AWS environments that make our AI pipelines run reliably and cost-efficiently.</span><br><br><strong>What makes this role interesting?</strong><br><br><ul><li><strong>Ownership: </strong><span>You’ll own real infrastructure. This is not a role where you configure demos, you will provision, harden, and operate the AWS environments that run Qlik’s AI agents at scale.</span></li><li><strong>Frontier Stack: </strong><span>Work directly with AWS Bedrock AgentCore, a capability that most cloud engineers are only beginning to encounter. You’ll be among the first teams operationalizing it in production.</span></li><li><strong>High Impact: </strong><span>Small team, direct line to executive leadership, real decisions. You’ll shape how Qlik’s AI infrastructure evolves from the ground up.</span></li></ul><br><strong>Here’s how you’ll be making an impact:</strong><br><br><ul><li><strong>IaC and Cloud Provisioning: </strong><span>Design and maintain infrastructure-as-code (Terraform) for all AI workloads: Bedrock agents, AgentCore runtimes, Lambda functions, API Gateway endpoints, and supporting data services.</span></li><li><strong>AWS Bedrock AgentCore: </strong><span>Own deployment, configuration, and scaling of AWS Bedrock AgentCore environments, including model invocation routing, session management, and memory backends.</span></li><li><strong>Security and IAM: </strong><span>Architect secure, least-privilege IAM policies for agent runtimes, MCP integrations, cross-account access patterns, and service-to-service authentication.</span></li><li><strong>CI/CD Pipelines: </strong><span>Build and maintain CI/CD pipelines (GitHub Actions, AWS CodePipeline) for agentic workloads, covering infrastructure changes, Lambda deployments, and agent configuration updates.</span></li><li><strong>Observability and Cost Management: </strong><span>Instrument AI systems with OpenTelemetry, CloudWatch, and X-Ray. Own observability strategy: traces, metrics, cost dashboards, and alerting across agent pipelines.</span></li><li><strong>Networking: </strong><span>Manage networking topology for AI workloads: VPC design, PrivateLink, security groups, and egress controls to ensure data never leaves governed boundaries unexpectedly.</span></li><li><strong>Data Infrastructure: </strong><span>Build and operate the data infrastructure supporting agents: OpenSearch for semantic search and vector retrieval, and S3 lifecycle policies for knowledge artifact storage.</span></li><li><strong>Collaboration: </strong><span>Collaborate with AI engineers on MCP server deployments, containerized agent runtimes (ECS/Fargate), and performance tuning to hit latency and cost targets.</span></li></ul><br><strong>We’re looking for a teammate with:</strong><br><br><span>The ideal candidate will have hands-on experience owning production infrastructure, with deep proficiency across AWS and the modern cloud engineering stack:</span><br><ul><li><strong>Infrastructure as Code: </strong><span>You have strong hands-on Terraform experience. You version-control infrastructure the same way you version-control code.</span></li><li><strong>AWS Platform Depth: </strong><span>Deep AWS experience across Bedrock (model invocation, agents), Lambda, API Gateway, ECS/Fargate, App Runner, IAM, VPC, S3, CloudWatch, and X-Ray. Bedrock AgentCore exposure is a strong plus.</span></li><li><strong>Security Mindset: </strong><span>You understand the AWS IAM model deeply: roles, policies, SCPs, permission boundaries, and cross-account trust. You instinctively scope to least privilege.</span></li><li><strong>CI/CD: </strong><span>You build pipelines that deploy infrastructure and application code reliably. GitHub Actions, CodePipeline, or equivalent. You know how to roll back safely.</span></li><li><strong>Observability: </strong><span>Experience with OpenTelemetry, CloudWatch Logs Insights, and distributed tracing. You care about visibility into what AI systems are actually doing and what they cost.</span></li><li><strong>Python: </strong><span>Comfortable with Python for scripting, Lambda functions, and lightweight automation. You don’t need to be an ML engineer, but you can read and modify agent code.</span></li><li><strong>Containers: </strong><span>Comfortable with containerized workloads (Docker, ECS, Fargate, App Runner). Experience running long-running agent processes or streaming inference endpoints is a plus.</span></li><li><strong>Data Infrastructure: </strong><span>You understand vector search infrastructure and are comfortable operating OpenSearch clusters for semantic retrieval. Experience with RAG pipeline data stores preferred.</span></li></ul><br><span>Beyond technical skills, we’re looking for someone who brings:</span><br><ul><li><strong>Ownership: </strong><span>You close the loop. You don’t just provision infrastructure, you monitor it, cost-optimize it, and improve it without being asked.</span></li><li><strong>Comfort with Ambiguity: </strong><span>AI infrastructure is still being invented. You are energized by ambiguity and comfortable writing the runbook that didn’t exist before you joined.</span></li><li><strong>Communication: </strong><span>Able to explain an IAM boundary decision or a rate-limiting architecture to an AI engineer or a business stakeholder equally well.</span></li><li><strong>Security and Governance Mindset: </strong><span>You think about what happens when things fail, when costs spike, when an agent calls an endpoint it shouldn’t. You build guardrails proactively.</span></li></ul><br><strong>The location for this role is:</strong><br><span>King of Prussia, PA</span><br><span>Boston, MA</span><br><span>Hybrid: #LI-Hybrid</span><br><strong>Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities!</strong><br><strong>More about Qlik and who we are:</strong><br><span>Find out more about ‘Life at Qlik’ on social: </span>Instagram, LinkedIn, YouTube<span>, and </span>X/Twitter<span>, and to see all other opportunities to join us and our values, check out our </span>Careers Page.<br><strong>What else do we offer?</strong><br><ul><li><span>Named in Newsweek’s ‘Americas Greatest Workplaces 2025’: </span>https://rankings.newsweek.com/americas-greatest-workplaces-2025.</li><li><span>Genuine career progression pathways and mentoring programs.</span></li><li><span>Culture of innovation, technology, collaboration, and openness.</span></li><li><span>Flexible, diverse, and international work environment.</span></li></ul><br><span>Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our </span>Corporate Responsibility Employee Programs.<br><strong>Salary and Benefits:</strong><span> The anticipated base salary range for this role is&nbsp;$100,000 to $125,000 USD. Final&nbsp;compensation&nbsp;offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs.</span><br><span>This position is eligible for comprehensive benefits, including - but not limited to - medical, dental, and vision coverage life and AD&amp;D, short and long-term disability coverage, paid time off, paid parental / maternity leave, participation in a 401(k) program that includes company match, and many other additional voluntary benefits.</span><br><strong>Application Window:</strong><span> The application window is 60 days, but applicants are encouraged to apply as soon as possible.&nbsp;The posting will be removed before the application window closes if the position is filled.</span><br><strong>For positions in Massachusetts:</strong><span> It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.</span><br><span>Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable and inclusive.</span><br><span>Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor’s website to review the Equal Employment Opportunity Posters, including the “Know Your Rights” and “Pay Transparency Nondiscrimination” posters.</span><br><span>If you need assistance applying for a role due to a disability, please submit your request via email to </span>accessibilityta@qlik.com. <span>Any information you provide will be treated according to Qlik’s</span> Recruitment Privacy Notice<span>. Qlik may only respond to emails related to accommodation requests.</span><br>Qlik uses artificial intelligence (e.g. Talent Intelligence developed by Eightfold) to screen and summarize resumes, assess and evaluate candidates, and score candidates for all positions at Qlik. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means. For questions about this tool, contact accessibilityta@qlik.com.<br><span>Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.</span><br><br> </div>