Large Language Model Researcher

In this role, you will be responsible for developing a machine-learning model that monitors and analyzes time series data in real-time in the motorsport sector.

If you are a team player who thrives on responsibility, possesses strong analytical skills, and has a deep understanding of time series and deep learning methods, then you are the right person for this challenge.

Your responsibilities :

• You develop, evaluate and adapt algorithms available in the time series literature,
• You stay updated with the latest advancements in foundation models and time series analysis,
• You implement algorithms and maintain the code repository,
• You collaborate with researchers and engineers to train, test and evaluate the model,
• You create and support demonstrations using actual systems, prepare field tests,

Your profile :

• You have a Master in Computer sciences or other related topics. A PhD is a plus,
• You are fluent in English (written and spoken),
• You have minimum 3 years of experience,
• You are interested in working in a sector at the heart of innovation,
• You have knowledge with Python, Matlab, Simulink,
• You have experience with Python libraries: Pandas, Scikit-learn
• You have expertise with time series and foundation models,
• You have strong analytical and problem solving skills, with good attention to detail.

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 or mobility plan, group insurances OR a VIE!
• A friendly, lively working environment within a dynamic and motivated team