Machine Learning Engineer Lead
USA - Raleigh, NC (RDU), United States
USD 115K-192K Senior-level Full Time
Tasks
- Architect distributed ML systems for global products
- Architect multi step reasoning systems
- Choose between deterministic workflows and autonomous agents
- Conduct design reviews performance reviews and technical roadmap planning
- Define and implement agentic frameworks
- Develop evaluation frameworks for reasoning quality and reliability
- Ensure compliance with enterprise data governance and responsible AI standards
- Establish CI CD standards for ML lifecycle management
- Establish ML engineering best practices for design testing and deployment
- Implement guardrails safety layers and traceability mechanisms
- Lead mentor and grow a team of ML engineers
- Provide architectural direction and code level guidance
- Standardize infrastructure patterns for LLM serving and retrieval systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Architectures | Artificial Intelligence | CI/CD | Data Governance | Distributed Systems | Evaluation | LLM serving | Language Models | Large Language Models | Machine Learning | Model Deployment | Responsible AI | Retrieval-Augmented Generation | Software Engineering | System Architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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