| Location | Berne, Switzerland |
|---|---|
| Business Sector | Medical Device |
| Contact email | |
| Job ref | 25260 |
| Published | 17 days ago |
Job Description:
As a Principal Machine Learning Engineer, you’ll lead the design and deployment of robust ML models.. This role combines research, technical execution, and cross-functional collaboration to drive diagnostic innovation.
Essential Requirements:
7+ years of professional Python experience (including pandas and/or polars)
Proven experience in end-to-end ML workflows: ETL, signal processing, modeling, deployment
Expertise in Bayesian modeling, statistical inference, and ML methods
Strong software development practices and familiarity with Docker and cloud services (Azure preferred)
Experience deploying ML models in production, preferably in regulated or high-stakes environments
BSc, MSc, or PhD in Computer Science, Data Science, Engineering, or a related technical field
Fluent in English
Desirable Requirements:
Experience with Rust or Julia
Background in generative AI or probabilistic programming
Understanding of FIR filtering, non-linear correlation, and hypothesis testing
Familiarity with edge deployment, container optimization, and cost-efficient cloud setups
Proficiency in German or French