وظائف مهندس تصميم ميكانيكي في المغرب (أغسطس 2026)

من ٠ إلى ٠ سنة بيت.كوم

Requirement System Engineer | Rabat (Morocco)

On-site - المغرب ١١ أغسطس ٢٠٢٦

الهندسة

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : Alten Maroc is defined by a deeply collaborative culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent. This environment is enhanced by a strong drive for innovation, encouraging creativity, initiative, and experimentation across projects. A structured and disciplined organization ensures efficiency, rigor, and quality in engineering delivery. Performance and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. Job : As a Requirement System Engineer, you will play a key role in the development of vehicle systems. You will be responsible for analyzing vehicle-level requirements, defining functional requirements, and contributing to system architecture design. Your expertise will ensure the robustness, quality, and compliance of embedded functionalities across the vehicle. Required profile : Profile: Master's degree (Bac+5) Experience: 3 to 5 years Skills: Analyze vehicle-level requirements and derive clear, consistent, and testable atomic functional requirements. Contribute to the definition, structuring, and evolution of the overall vehicle architecture. Support functional design activities using SysML models and ensure consistency in Enterprise Architect. Ensure the proper integration of functional safety constraints (ISO26262, deliverables) into requirements and system models. Collaborate closely with system, software, validation, and safety teams to ensure the proper implementation of requirements. Provide expertise on diagnostic systems (UDS, DTC), communication protocols (CAN, LIN), and ECU operating modes and functionalities. </div>

من ٠ إلى ٠ سنة بيت.كوم

Data Engineer

On-site - المغرب ١١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : Capgemini is characterized by a predominantly collaborative culture, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong organizational dimension, ensuring process rigor, reliability and operational efficiency. It is complemented by a competitive component focused on performance and customer satisfaction, while a more moderate innovation dimension supports the continuous evolution of services and expertise. Job : Join an innovative company in the IT sector and help shape the future of data as a Data Engineer GCP in Casablanca. This is a unique opportunity to use your expertise on challenging projects at the heart of Google's cloud ecosystem. As a Data Engineer GCP, you will be responsible for designing, developing, and maintaining data pipelines on the Google Cloud Platform environment. You will work in a data-driven transformation context, in collaboration with Data Science, BI, and IT teams. Your missions include: Design and develop robust and scalable data pipelines (ETL/ELT) on GCP. Implement and maintain data architectures (BigQuery, Dataflow, Pub/Sub, etc.). Ensure data quality, security, and governance. Participate in the industrialization of machine learning models. Collaborate with business teams to understand needs and propose suitable solutions. Document processes and stay updated on GCP tools. Required skills Technical: Proficiency in Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Vertex AI. Solid experience in SQL, Python, and orchestration tools (Airflow). Knowledge of Data Lake / Data Warehouse architectures. Experience with CI/CD tools (Cloud Build, GitLab CI, Terraform…). Basic understanding of data security and governance. Functional: Ability to understand business needs and translate them into technical solutions. Good communication and teamwork skills. Analytical mindset, rigor, and autonomy. . Required profile : To excel in this role, a higher education level, Bachelor's degree +5 or more, is required. A degree in Computer Science or Electronics will be particularly appreciated. With 5 to 10 years of experience in data or Cloud Architect roles, you have developed solid expertise in managing and processing large volumes of data. Essential skills for success include in-depth mastery of the Google Cloud Platform (GCP) ecosystem, particularly services like BigQuery, Dataflow, Dataproc, and Cloud Storage. A strong understanding of data modeling principles, programming languages like Python or Java, and SQL and NoSQL databases is essential. The ability to design and implement complex data pipelines, along with strong problem-solving skills, is also expected. Good communication and teamwork skills complete this profile. </div>

من ٠ إلى ٠ سنة Naukri Gulf

Senior Software Engineer

On-site - المغرب - بولمان ٩ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">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.</div></section><section>Desired Candidate Profile4 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:<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></section>

من ٠ إلى ٠ سنة بيت.كوم

Senior Software Engineer

On-site - المغرب ٩ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona). Our proprietary AI orchestrator. Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? Why Infomineo? 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). Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success. Lead in AI & Technology: We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team. Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth. About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer. 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. 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. 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. Key Responsibilities: Data Science, AI & Applied R&D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems. 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. </div>

من ٠ إلى ٠ سنة Naukri Gulf

Test Specification Engineer

On-site - المغرب - بولمان ٨ يوليو ٢٠٢٦

الهندسة

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">The Test Specification Engineer is responsible for the end-to-end definition and maintenance of test specifications, ensuring full traceability between requirements, test design, and validation results within complex automotive systems (focus: steering systems / ECU testing).Ability to independently create test specificationsNo reliance on detailed instructionsExperience working with European OEMs (VW preferred)Strong documentation discipline</div></section><section>Desired Candidate Profile<ul><li>Analyze system, software and safety requirements (ASIL relevant where applicable)</li><li>Create high-quality test specifications and test cases (HiL / SiL / Vehicle)</li><li>Ensure end-to-end traceability (Requirement Test Case Execution Result)</li><li>Review and optimize existing test specifications</li><li>Perform coverage analysis (requirements vs. test cases)</li><li>Support test strategy definition and refinement</li><li>Align with stakeholders (Germany / OEM / Suppliers)</li><li>Hands-on experience in at least one domain: ECU testing steering/braking systems vehicle control systems</li><li>Minimum 5 years of experience</li><li>Languages English: Professional working proficiency (mandatory)</li><li>German: Considered a strong asset / plus</li></ul></section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - الدار البيضاء ١٣ يوليو ٢٠٢٦

تكنولوجيا المعلومات

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

من ٠ إلى ٠ سنة بيت.كوم

System Engineer

On-site - المغرب ١٨ يوليو ٢٠٢٦

الإنشاءات والعقارات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : Alten Maroc is defined by a deeply collaborative culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent. This environment is enhanced by a strong drive for innovation, encouraging creativity, initiative, and experimentation across projects. A structured and disciplined organization ensures efficiency, rigor, and quality in engineering delivery. Performance and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. Job : ALTEN is supporting its client in project management activities within the TS-TC (Train Control and Train System) division. The systems engineer is responsible for the development and integration of train equipment (Air Conditioning, Doors, Battery, etc.). The mission includes: <ul><li>System requirements management (writing, updating, tracking)</li><li>Supplier management (documentation, planning, clause-by-clause, etc.)</li><li>Verification of compliance with the specifications</li><li>Validation of supplier deliverables (3D design, wiring, functional, industrialization)</li><li>Participation in technical meetings with the client</li><li>Writing, participation, and management of equipment performance tests</li><li>Participation in modification committee meetings</li><li>Liaison with other project teams (Control Command, 3D Design, Wiring, RAMS, Validation)</li></ul> Required profile : Profile <ul><li>Education: Master's degree (Bac+5) in Mechanical Engineering, Mechatronics, Electromechanical Engineering, or Embedded Systems</li><li>Experience: 3 to 5 years</li><li>With experience in Systems Engineering (Development of complex systems containing mechanical, electrical, and SW components)</li></ul>Required Skills <ul><li>Technical: <ul><li>Requirements management</li><li>Supplier management</li><li>DOORS (a plus)</li><li>Knowledge in electrical, mechanical, pneumatic, hydraulic systems</li></ul></li><li>Soft skills: <ul><li>Meeting facilitation and progress tracking</li><li>Synthesis skills</li><li>Practical mindset (ability to put oneself in the users' shoes)</li><li>Initiative and autonomy</li><li>Reporting alerts to clients and decision-makers</li></ul></li><li>Languages: French, English (fluent/mastered, spoken and written) </li></ul> </div>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - الرباط ٨ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Job Description: As a Senior Data Engineer, your role will be to design, code, test, and deploy data ingestion, processing, modeling, and valorization pipelines so that this data can be presented and visualized through web applications, using modern technologies. Your main responsibilities will include: Working in Data and Cloud environments, particularly GCP; Leveraging BigQuery and advanced SQL on large volumes of data; Integrating new LLM technologies into your development routine; Managing real-time streams with Pub/Sub; Automating data workflows via GitLab CI/CD and Docker Compose; Versioning code with Git; Collaborating in an agile environment (Scrum); and Data modeling and preparation: designing optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses. Respect deadlines while maintaining high standards of quality and excellence. Communicate clearly and effectively in writing and orally in French for smooth interactions with the business and teams. Analyze situations and propose appropriate solutions while identifying areas for improvement. Actively collaborate with team members, share knowledge and foster a team spirit to achieve common goals. Apply a continuous improvement mindset to optimize practices and results.</div></section><section>Desired Candidate ProfileCompany Description: At Devoteam, we are Digital Transformakers. Respect, honesty, and passion drive our team every day. Together, we help our clients win the digital battle: from consulting and implementing innovative technologies to ensuring user adoption. Cloud, Cybersecurity, Data, DevOps, Fullstack Development, Low Code, and RPA hold no secrets for our team! Our 10,000+ employees are certified, trained, and supported daily to take on new and innovative challenges. A leader in Cloud, Cybersecurity, and Data in EMEA, the Devoteam Group achieved a revenue of €1.036 billion in 2022 and aims to double it within the next 5 years. Devoteam Morocco, a leading player in IT expertise for over 30 years (350+ consultants), is accelerating its growth by developing its nearshore expertise activities to meet the needs of our French, European, and Middle Eastern clients. Are you ready to join us and take on this challenge together?Qualifications For this position, you will need: Proficiency in DBT for data transformation and orchestration. Significant experience in data modeling and implementation of semantic layers with Looker/LookML. Knowledge of machine learning and Agentic. Experience with the Google suite.</section>

من ٠ إلى ٠ سنة بيت.كوم

Senior QA Engineer

عن بُعد - المغرب ١٠ يوليو ٢٠٢٦

On-site - المغرب - بولمان ٣٠ يونيو ٢٠٢٦

الهندسة

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">AVL Maroc SARL AU offers a job in Morocco (MA) as System Developement Engineer - Braking Systems YOUR RESPONSIBILITIES: <ul> <li>Responsible for the overall braking system architecture (electrical/electronic, mechanical, and software)</li> <li>Development of system concepts and interface definitions</li> <li>Definition, management, and traceability of system requirements</li> <li>Coordination of subsystems, suppliers, and internal engineering teams</li> <li>Ensuring seamless vehicle-level system integration</li> <li>Planning and execution of verification and validation (V&V) activities</li> <li>Ensuring functional safety and compliance with applicable regulatory requirements</li> </ul> YOUR PROFILE: <ul> <li>Degree in Automotive Engineering, Mechanical Engineering, Mechatronics, Electrical Engineering, or a related field</li> <li>Significant experience in braking system development</li> <li>Strong knowledge of mechatronic systems and vehicle dynamics</li> <li>Experience in Systems Engineering and system architecture</li> <li>Knowledge of ASPICE, ISO 26262, and the V-model development process</li> <li>Experience in technical coordination and/or project management</li> <li>Strong analytical and structured problem-solving skills</li> </ul> We Offer : <ul> <li> Smooth Integration: Our technical and personal onboarding process ensures you can easily and quickly adapt to your new role.</li> <li> Career Development: Growth and advancement opportunities within the company, including mentoring and training programs tailored to your professional goals.</li> <li> Work Flexibility: Options for remote work and flexible hours to help maintain a healthy work-life balance.</li> <li> Collaborative Environment: A company culture that fosters open communication, teamwork, and innovative thinking.</li> <li> Community Connection: Regular employee events and activities that build camaraderie and strengthen team bonds.</li> <li> Recognition and Support: A commitment to acknowledging your contributions and providing the necessary support for you to thrive professionally.</li> </ul> Together with our clients, we are shaping the future of mobility! If you meet these qualifications and are looking for a new challenge, we encourage you to apply so we can discuss this exciting opportunity further! </div></section>

من ٠ إلى ٠ سنة Naukri Gulf

Senior R&D Software Engineer

On-site - المغرب - بولمان ٨ يوليو ٢٠٢٦

الطب والرعاية الصحية

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">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 & 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 & 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 & 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.</div></section><section>Desired Candidate Profile3-5 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.</section>

وظائف مهندس تصميم ميكانيكي في المغرب

Requirement System Engineer | Rabat (Morocco)

Data Engineer

Senior Software Engineer

Senior Software Engineer

Test Specification Engineer

Data Engineer

System Engineer

Data Engineer

Senior QA Engineer

Senior Java Design Engineer and Developer

Senior Cloud Engineer

Data Engineer MS Fabric PySpark (H/F) SQLI

Senior Data Engineer

Senior QA Engineer

Software Engineer

Data Engineer

Performance Test Engineer SQLI

Automated Test Engineer (PlayWright / Robot Framework) SQLI

System Development Engineer

Senior R&D Software Engineer

أصحاب المواقع

أصحاب العمل

الباحثين عن عمل

وظائف مهندس تصميم ميكانيكي في المغرب

اشترك لتصلك وظائف وظائف مهندس تصميم ميكانيكي في المغرب الجديدة دوريا علي بريدك