Associate Principal Scientist (m/f/d) Senior Machine Learning Engineer
Tasks
- Build ML lifecycle tooling
- Collaborate with AI science teams
- Collaborate with data engineering teams
- Collaborate with platform teams
- Create frameworks and templates
- Define best practices for ML delivery
- Deploy deep learning models
- Develop and adapt ML and DL models
- Implement experiment tracking
- Integrate ML solutions into production ecosystem
- Manage compute environments
- Manage model registries
- Optimize GPU workloads
- Own fine tuning pipelines
- Own reproducible training pipelines
- Package deep learning models
- Perform model evaluation
- Perform model fine-tuning
- Process large scale biomedical datasets
- Transform prototype code into reusable solutions
Perks/Benefits
- Additional days off
- Flexible working hours
- Health promotion
- Home office
- Learning & development
- Public transport ticket
- Subsidized canteen
Skills/Tech-stack
AWS | Azure | Cloud infrastructure | Containerization | Deep learning | Docker | Experiment tracking | Machine Learning | Model Registry | Model versioning | Python | Reproducible pipelines | SageMaker
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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