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
1. Computer science, physics, engineering, mathematics
2. Research experience and mindset, min Master level, good to have PhD
3. Hands-on mindset, practical and pragmatic for real-world problem solving
4. Self-motivation, able to work under pressure, manage multiple tasks effectively, and eager to learn
5. Experience 3-5 years
Expertise
1. Machine- and Deep-learning, incl. knowledge of classical algorithms
2. Foundation models (knowledge in large vision models, multi-modal models)
3. Time series (knowledge in large real-time data would be a plus)
4. Robotics / mechatronics
Technical
1. Python, (extra) C++, MATLAB/Simulink
2. Proficient in PyTorch (knowledge in PyTorch Forecasting and TensorRT would be a plus)
3. Python libraries: Pandas, Scikit-learn (knowledge in SKTime and Darts would be a plus)
4. Proficient in Linux, Docker, Git
5. Proficient in Linux environment and HPC experience (preferable AWS and Azure)
Company:
Capgemini Engineering
Qualifications:
Senior (5+ years of experience)
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