Principal Machine Learning Engineer I
USA - Raleigh, NC (RDU), United States
USD 136K-252K Senior-level Full Time
Tasks
- Architect distributed ML systems
- Build LLM infrastructure
- Conduct design reviews and performance reviews
- Design scalable AI/ML systems
- Develop autonomous agent frameworks
- Develop evaluation frameworks
- Develop retrieval-augmented generation pipelines
- Ensure compliance with data governance and responsible AI
- Establish CI CD standards for ML lifecycle management
- Establish ML system best practices
- Implement Agentic frameworks
- Implement guardrails and safety layers
- Implement multi step reasoning systems
- Implement traceability mechanisms
- Lead workflow decisions between deterministic and autonomous agents
- Measure hallucination rates and reliability
- Plan technical roadmaps
- Standardize infrastructure patterns for LLM serving
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Architectures | Artificial Intelligence | Autonomous Agents | CI/CD | Distributed Systems | Evaluation | Hallucination detection | Language Models | Large Language Models | Machine Learning | Retrieval-Augmented Generation | Software Engineering
Education
Regions
Countries
States
Cities
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