Senior ML Engineer
Tasks
- Build evaluation datasets and testing harnesses
- Collaborate with product and clinical stakeholders
- Deploy models and monitor production systems
- Design Agentic LLM systems
- Explore AI assisted approaches to improve engineering workflows
- Implement LLM as judge pipelines
- Improve model performance using retrieval and fine tuning
- Manage production feedback loops
- Own machine learning projects end to end
- Review code and mentor engineers
Perks/Benefits
- Collaborative cross-functional environment
- Exposure to cutting edge LLM research and production systems
- Mentorship and knowledge-sharing
- Opportunity to work on high impact healthcare AI systems
Skills/Tech-stack
Agent workflows | DPO | Debugging | Distributed Systems | Evaluation | Fine Tuning | Language Models | Large Language Models | Machine Learning | Model Serving | Monitoring | Orchestration | Prompt Optimization | Prompt engineering | RLHF | Regression testing | Retrieval-Augmented Generation | Tool-Calling
Education
N/A
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