Senior ML Engineer
Tasks
- Build evaluation datasets
- Collaborate with product clinical and engineering stakeholders
- Create LLM as judge pipelines with human review
- Create production feedback loops
- Design and build agentic LLM systems
- Develop evaluation strategies
- Implement offline and online testing
- Improve model performance
- Mentor engineers
- Monitor deployed models
- Own machine learning projects end to end
- Perform regression testing
- Prepare data and adapt models
- Serve machine learning models
- Share technical knowledge and best practices
Perks/Benefits
- Collaborative cross-functional environment
- European mobility hiring flexibility
- Exposure to cutting edge LLM systems
- Mentorship and knowledge-sharing
- Opportunity to work on healthcare AI
Skills/Tech-stack
Agentic Workflows | DPO | Debugging | Distillation | Evaluation | Fine Tuning | Language Models | Large Language Models | Machine Learning | Monitoring | Orchestration | Prompt engineering | RLHF | Regression testing | Retrieval-Augmented Generation | Tool-Calling
Education
N/A
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