Machine Learning Engineer

B.E.S. (Business & Engineering Solutions) is growing and thus welcoming a new Machine Learning Engineer in our Automotive team.

As an Machine Learning Engineer at B.E.S., you will enjoy a collaborative environment where you will work closely with others in an organization that encourages and values collaboration, mentoring, and continuous learning.

Your responsabilities:

• Design, develop, and adapt algorithms based on the latest state-of-the-art multimodal models.
• Stay up to date with cutting-edge research in deep learning and generative AI.
• Implement, optimize, and maintain models, ensuring clean and well-documented code repositories.
• Collaborate closely with the researchers and external partners.
• Build Proof of Concepts and working prototypes.
• Contribute to scientific publications for major conferences (NeurIPS, ICML, ICLR, CVPR, ECCV).
• Support the integration, testing, and deployment of models in real-world environments (cloud, edge, embedded systems).

Your profile:

• MSc or PhD in Computer Science, Mathematics, Physics, Engineering, or related field.
• 2–5 years’ experience in machine learning or deep learning, with a proven research background.
• Strong expertise in classical and modern ML/DL methods, foundation models, and Transformer architectures.
• Proficient in Python; C++ knowledge is a plus.
• Hands-on experience with PyTorch or TensorFlow, Linux, Docker, and Git.
• Familiarity with HPC and cloud platforms (AWS, Azure).
• Skilled in Hugging Face tools (transformers, datasets, tokenizers, Trainer API).
• Practical, results-driven, and solution-oriented mindset.
• Ability to work under pressure, manage multiple tasks, and deliver high-quality results.
• Self-motivated, scientifically curious, collaborative, and an excellent communicator.

What can you except as a B.E.S. consultant?

• Great projects in Engineering and High Technologies through major players to develop your technical skills and hard skills,
• Knowledge sharing processes though our competences centers and experts' communities to grow your multi-sectorial knowledge,
• A strong development plan to improve your soft skills such as Leadership, Communication skills, Change & People management capabilities…
• A full package made of gross salary on 13.92 months, lunch allowance, entertainment expenses, company car & fuel card, group insurances OR a freelance contract,
• A friendly, lively working environment within a dynamic and motivated team !!