Principal Machine Learning Engineer I
USA - Raleigh, NC (RDU), United States
USD 136K-252K Senior-level Full Time
Tasks
- Architect distributed ML systems
- Architect multi step reasoning systems
- Build LLM infrastructure
- Conduct design and performance reviews
- Decide between deterministic workflows and autonomous agents
- Define enterprise agentic frameworks
- Design scalable AI/ML systems
- Develop RAG pipelines
- Develop autonomous agent frameworks
- Develop evaluation frameworks
- Ensure enterprise data governance compliance
- Ensure responsible AI compliance
- Establish CI CD standards for ML lifecycle management
- Implement engineering best practices for ML
- Implement guardrails and safety layers
- Implement traceability mechanisms
- Plan technical roadmaps
- Provide architectural direction
- Standardize infrastructure patterns
Perks/Benefits
Skills/Tech-stack
Agentic Architectures | Artificial Intelligence | Autonomous Agents | CI/CD | Distributed Systems | Evaluation | Hallucination detection | LLM serving | Language Models | Large Language Models | Machine Learning | Model Deployment | Multi-step reasoning | Reliability Engineering | Retrieval-Augmented Generation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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