onsite
Junior Machine Learning Engineer - Health & Performance - Schwarz Digits
ML Engineer
Entry‑level ML engineer focused on health and performance analytics, building predictive models and data pipelines using Python, Scikit‑Learn, Pandas, NumPy, and deep‑learning frameworks such as PyTorch and TensorFlow.
About the role
Key Responsibilities
- Develop and maintain machine‑learning models for health‑related performance metrics.
- Implement data preprocessing pipelines with Pandas and NumPy.
- Collaborate with data scientists to translate research into production‑ready solutions.
- Experiment with deep‑learning architectures using PyTorch or TensorFlow.
- Document model performance and contribute to model monitoring.
Requirements
- Completed university degree in Computer Science, Mathematics, Physics, Data Science or a related field.
- Hands‑on experience with Python and the core ML ecosystem (Scikit‑Learn, Pandas, NumPy).
- Basic understanding of modern ML concepts such as deep learning and large‑language‑model fundamentals.
- Strong analytical skills and a passion for applying ML to real‑world health data.
- Good communication skills and ability to work in a cross‑functional team.
Skills
pythonpandasnumpypytorchtensorflow