Senior ML Engineer
Tasks
- Build LLM as judge evaluation pipelines
- Create offline and online testing harnesses
- Deploy machine learning models to production
- Design Agentic LLM systems
- Develop evaluation strategies
- Improve model performance using evidence driven methods
- Mentor engineers and share technical knowledge
- Monitor models in production
- Own machine learning projects end to end
- Perform regression testing
- Work across machine learning lifecycle
Perks/Benefits
- Collaborative cross-functional environment
- Exposure to cutting edge LLMs and evaluation frameworks
- Mentorship and knowledge-sharing
- Opportunity to work on high impact AI systems
Skills/Tech-stack
Agent workflows | DPO | Distillation | Evaluation datasets | Fine Tuning | Human-in-the-loop | LLM orchestration | Language Models | Large Language Models | Machine Learning | Offline evaluation | Online evaluation | Prompt engineering | RLHF | Regression testing | Retrieval optimization | Retrieval-Augmented Generation | The Loop | Tool-Calling
Education
N/A
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