Senior Machine Learning Engineer - AI
Tasks
- Build evaluation and benchmarking infrastructure
- Create MVPs and prototypes
- Design agentic systems
- Develop LLM powered AI tools
- Implement production ready ML systems
- Lead evaluation strategy for LLMs and agents
- Mentor engineers through code review and research methodology
- Optimize retrieval and search strategies
- Provide AI expertise across teams
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent/tool use | Context Management | Context engineering | Ensemble Methods | Failure mode analysis | Fine Tuning | Generative AI | Human-in-the-loop | Inference Optimization | LLM Evaluation | Language Models | Large Language Models | MLOps | Machine Learning | Memory Management | Multi-Agent | Multi-agent orchestration | Probabilistic Modeling | Python | RLHF | Retrieval-Augmented Generation | State management | Statistics | Supervised Learning | The Loop | Tool use
Education
N/A
Regions
Countries
States
Cities
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