Machine Learning Model Engineer

Hybrid

Brussels, Belgium

Full Time

27-03-2025

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Job Specifications

We are looking for a highly skilled and motivated candidate to join our AI Research team. The goal is to innovate and accelerate the deployment of cutting-edge machine-learning techniques for driving and car monitoring technologies.

In this role, you will be responsible for developing a machine-learning model that monitors and analyzes time series data in real-time. You will play a crucial role in collaborating with a multidisciplinary team of researchers and engineers to ensure the integration and usability of the model.

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. Experience the excitement of teamwork and be inspired by the passion for motorsport and automotive projects.

Profile

Computer science, physics, engineering, mathematics
Research experience and mindset, min Master level, good to have PhD
Hands-on mindset, practical and pragmatic for real-world problem solving
Self-motivation, be able to work under pressure, be able to manage multiple tasks effectively, and eager to learn
Experience 3-5 years

Expertise

Machine- and Deep-learning, incl. knowledge of classical algorithms
Foundation models (knowledge in large vision models, multi-modal models)
Time series (knowledge in large real-time data would be a plus)
Robotics / mechatronics

Technical

Python, (extra) C++, MATLAB/Simulink
Proficient in PyTorch (knowledge in PyTorch Forecasting and TensorRT would be a plus)
Python libraries: Pandas, Scikit-learn (knowledge in SKTime and Darts would be a plus)
Proficient in Linux, Docker, Git
Proficient in Linux environment and HPC experience (preferable AWS and Azure)

About the Company

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrast... Know more

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