WHAT YOU’LL BE DOING
- improve supervised learning models
- work on transfer learning approaches
- tabular data models for new features
- co-develop and improve our MLOps pipelines
- productionizing ML models
WHAT WE OFFER
- a highly motivated team
- help improve blood cancer diagnostics, thereby have a positive impact for potentially a million people every year
- a top-of-the-line tech stack, including CI/CD, TDD, cloud engineering on GCP, TensorFlow, ZenML, etc.
- competitive salary
- possibility for equity
- many opportunities for growth, as our team expands
- a beautiful office in this historic building
- a sweet espresso machine
- team lunch (almost) daily
- team cooking sessions (almost) weekly
- hybrid work possible
WHAT YOU BRING TO THE TABLE
- you are capable of working precisely (important in this industry!)
- you can work autonomously
- you can work on-site for 2 days a week
- you have at least 2 years of full-time industry experience in a similar position
- you are competent in: Python, TensorFlow (or PyTorch), TDD, medium- to large-scale software engineering and cloud engineering
- you have strong experience with MLOps, model building and bringing models into production
