About Capgemini Engineering

Capgemini Engineering is a global leader in engineering services. We bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think creatively to deliver unique R&D and engineering services across industries.

Join Us for a Career Full of Opportunities

• Where your ideas matter.
• Where you can make a real difference.
• Where no two days are the same.

Your Role

As an AI Engineer, you will contribute to the design, development, and deployment of artificial intelligence solutions across a wide range of use cases. You will be responsible for building and training machine learning models, preparing high-quality datasets, and supporting the integration of AI components into enterprise or embedded environments.

You will:

• Support the full lifecycle of AI projects: data exploration, preprocessing, model training, evaluation, and deployment.
• Develop ML models using modern frameworks and contribute to feature extraction, optimization, and validation.
• Work with cross-functional teams (data engineers, architects, business analysts) to translate requirements into robust AI solutions.
• Participate in the implementation of AI solutions deployed on cloud, on-premise, or edge environments.
• Contribute to PoCs, experimentation, and continuous improvement of AI components, pipelines, and reusable assets.

Your Profile

• Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or related fields.
• Practical experience in applying machine learning techniques to real-world problems.
• Exposure to computer vision, sensor data processing, or similar applied AI domains is a plus.
• Experience building and evaluating ML models using mainstream ML frameworks.
• Curious, analytical, structured, and motivated to grow within an AI-centered technical environment.
• Comfortable working within Agile teams and collaborating on multi-disciplinary projects.
• Strong ability to learn new frameworks, libraries, and deployment technologies.
• Excellent communication in English & French and teamwork abilities.
• Ability to adapt to evolving technologies and requirements.

Mandatory Skills

Machine Learning & AI

• Strong understanding of machine learning principles, evaluation methodologies, and optimization techniques.
• Experience with Python and common ML frameworks such as PyTorch, TensorFlow, or similar.
• Ability to preprocess and clean structured or unstructured data, including sensor data or high-dimensional data sources.
• Familiarity with:
• Feature engineering techniques
• Classical ML algorithms and modern deep learning architectures
• Model validation, testing, and performance tuning

Data & Engineering Skills

• Solid experience with NumPy, Pandas, and related data manipulation libraries.
• Understanding of how to manage datasets for training and inference (e.g., batching, augmentation, normalization).
• Exposure to building deployable AI/ML components, including cloud endpoints or lightweight models for edge or resource-constrained environments.

Edge / Deployment

• Basic understanding of deploying ML models outside notebooks: as APIs, microservices, or embedded runtimes.
• Familiarity with concepts such as:
• On-device inference
• Model optimization (quantization, pruning, compression)
• Lightweight runtimes or portable execution formats
• Experience with time-series data, biometric-style data, or sensor-derived signals is a plus.
• Experience with computer vision, image-based processing, or age/attribute estimation algorithms considered an advantage (framed generically).

Soft Skills

• Strong analytical and problem-solving capabilities.
• Ability to explain complex concepts to both technical and non-technical audiences.
• Proactive, curious, and willing to explore new AI techniques and technologies.
• Team-oriented, collaborative, and comfortable working in a fast-paced environment.
• Ability to manage time and deliver reliably across multiple tasks or project phases.

What You'll Love About Working Here

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Hybrid work (depends on the Project)
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Access valuable training and certifications in cutting-edge technologies.
• Engage in exciting national and international projects.
• Referral program with bonuses for talent recommendations.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.