Senior Machine Learning Engineer
Tasks
- Build data ingestion and training pipelines
- Conduct code reviews and identify technical risks
- Convert one off experiments into repeatable platform capabilities
- Define offline and online evaluation metrics
- Deploy models and monitor real time performance
- Design end-to-end machine learning systems
- Develop reusable library modules
- Partner with data scientists to productionize experiments
- Select machine learning tools and optimize build vs buy
- Translate clinical objectives into computational tasks
Perks/Benefits
- Dog-friendly office
- Enhanced parental leave
- Fertility support
- Flexible working
- Free meals
- Healthcare coverage adjustment
- Holiday time
- Life insurance
- Parental loss support
- Pension adjustment
- Remote work flexibility
Skills/Tech-stack
Amazon SageMaker | Bayesian Modeling | Cost Optimization | Data Versioning | Deep learning | Differential Privacy | Fine Tuning | GDPR | Google Vertex | Google Vertex AI | HIPAA | Jupyter | Kubernetes | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Latency optimization | MLOps | Machine Learning | Model Monitoring | Model Serving | Natural Language | Natural Language Processing | Offline evaluation | Online evaluation | Prompt engineering | Python | Terraform | Transformer | Tree-based methods | Vertex AI
Education
N/A
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