onsite
Master Thesis in Machine Learning for Synthetic Data Generation in Gesture Recognition - BMW AG
ML Engineer
Conduct a master thesis focused on developing machine learning models to generate synthetic data for gesture recognition, leveraging Python and deep learning techniques to enhance training datasets and improve recognition accuracy.
About the role
Key Responsibilities
- Design and implement machine learning pipelines for synthetic data generation tailored to gesture recognition tasks.
- Develop and evaluate deep learning models using Python and relevant frameworks (e.g., TensorFlow, PyTorch).
- Analyze and preprocess real gesture datasets to create realistic synthetic counterparts.
- Collaborate with research and engineering teams to integrate synthetic data into training workflows.
- Document methodologies, results, and best practices for reproducibility.
Requirements
- Strong background in machine learning and deep learning concepts.
- Proficiency in Python and experience with ML libraries.
- Knowledge of synthetic data generation techniques and gesture recognition.
- Excellent analytical and problem‑solving skills.
- Ability to communicate findings clearly in written and verbal form.
Skills
machine learningpythondeep learning