Machine Learning Engineer II - AI
Tasks
- Build AI prototypes
- Build LLM evaluation benchmarks
- Create evaluation infrastructure
- Design agentic systems
- Develop production AI systems
- Implement retrieval and search strategies
- Mentor team members
- Provide AI technical guidance
- Write production-ready code
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agentic Systems | Context Management | Context engineering | Deep learning | Ensemble Methods | Evaluation Frameworks | Failure analysis | Fine Tuning | Generative AI | Human-in-the-loop | Inference Optimization | LLM Failure Analysis | Language Models | MLOps | Machine Learning | Memory Management | Multi-Agent | Multi-agent orchestration | Optimization | Probabilistic Modeling | Python | RAG | RLHF | State management | Statistics | Supervised Learning | The Loop | Tool use
Education
N/A
Regions
Countries
States
Cities
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