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
* Prior mentoring or technical leadership experience
Location: Berne
Model: Hybrid #J-18808-Ljbffr