Senior ML Engineer
Tasks
- Build production ML pipelines
- Collaborate with product and clinical stakeholders
- Design and build agentic LLM systems
- Develop evaluation strategies
- Improve model performance
- Own machine learning projects end to end
- Review code and mentor engineers
- Serve and monitor ML models
Perks/Benefits
- Collaborative cross-functional environment
- Country-specific benefits
- European wide hiring flexibility
- Mentorship and knowledge-sharing
- Opportunity to work on high impact AI systems
Skills/Tech-stack
Agentic Workflows | DPO | Distillation | Distributed Systems | Fine Tuning | Human review | LLM-as-judge | Language Models | Large Language Models | Machine Learning | Model Evaluation | Orchestration | Production Debugging | Prompt engineering | RLHF | Regression testing | Retrieval-Augmented Generation | Tool-Calling
Education
N/A
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