Data Scientist - AI (M/F)
Must-have:PythonCloudDataAI
Machine translation — original language: French.Show original
Your Role
As a Data Scientist, you will be responsible for the design, development, and deployment of embedded AI models that power DREEVEN's intelligent movement. You will transform high-frequency sensor data into real-time decision-making and adaptive control, deploying an AI system that learns and reacts to each user's gait.
This is a unique opportunity to build something deeply meaningful, technically complex, and at the frontier of robotics, medical technology, and artificial intelligence.
Main Responsibilities
Model Development
- Design and train classification, prediction, and control models via Machine Learning and Deep Learning.
- Analyze time-series data from IMU, pressure sensors, encoders, and other embedded systems.
ML Operations and Infrastructure
- Create and maintain end-to-end ML pipelines, from data collection to model deployment and monitoring.
- Leverage cloud tools for training and monitoring.
Collaboration and Research
- Work cross-functionally with hardware, software, and clinical teams.
- Contribute to scientific research, patents, and publications, where applicable.
- Continuously improve algorithms based on state-of-the-art advancements.
Validation and Iteration
- Participate in user testing and clinical trials to validate model performance.
- Continuously improve algorithms based on real-world usage and edge cases.
Essential Skills and Experience
- Minimum 2 years of professional experience in Data Science, ML Engineering, or robotics AI.
- Proficiency in programming languages such as Python, C++, or similar.
- Deep knowledge of TensorFlow or PyTorch and associated quantization/optimization tools.
- Strong skills in Python, including the use of TensorFlow or PyTorch.
- Solid understanding of deep learning, both theoretical and practical.
- Strong experience in time-series analysis and predictive modeling.
- Knowledge of signal processing and sensor data analysis.
- Familiar with ML Ops workflows and deployment on embedded systems.
- Proficiency in SQL, database manipulation.
- Proven ability to work independently and drive projects from ideation to deployment.
- Problem Solving: Excellent analytical and complex technical problem-solving skills.
- Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
- Proficiency in English (written and spoken) - B2 level or higher.
Bonus Points
- Knowledge of mechatronics or embedded systems (Arduino, Jetson, Raspberry Pi).
- Experience in signal processing for IMU or biomechanical data.
- Previous experience in medical devices or embedded robotics.
- Experience in embedded systems
- Experience in MatLab or Simulink.
- Experience with on-target embedded AI models (microprocessors and/or microcontrollers).