Senior ML Engineer
Tasks
- Build retrieval systems
- Design agentic LLM systems with tool calling and orchestration
- Develop offline and online evaluation frameworks
- Implement LLM as judge pipelines
- Implement production feedback loops
- Improve model performance with fine tuning and retrieval optimization
- Mentor engineers and share technical knowledge
- Monitor models in production
- Own machine learning projects end to end
- Prepare data for machine learning
- Run regression testing for model changes
- Serve machine learning models in production
Perks/Benefits
- Collaborative cross-functional environment
- Exposure to cutting edge LLM and evaluation frameworks
- Knowledge sharing
- Mentorship opportunities
- Opportunity to work on high impact healthcare AI systems
Skills/Tech-stack
Agent Orchestration | DPO | Distillation | Distributed Systems | Fine Tuning | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Python | RLHF | Regression testing | Retrieval optimization | Retrieval-Augmented Generation | Tool-Calling
Education
N/A
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