Staff ML Engineer (ML/AI)
Summary
Designs and builds ML infrastructure, including training pipelines, RAG systems, and low-latency inference services, while leading AI platform architecture and setting engineering standards.
- Architect training and fine tuning pipelines
- Build CI/CD pipelines
- Build low latency inference services
- Conduct architectural reviews
- Conduct red teaming
- Contribute strategic coding
- Create enterprise evaluation and guardrail frameworks
- Design centralized RAG architecture
- Develop technical prototypes
- Drive AI platform architecture roadmap
- Establish AI ML SDLC standards
- Implement vector databases
- Manage dataset lineage
- Mentor senior ML engineers
- Perform automated model evaluation
- Provide technical leadership across engineering and data
- Set production monitoring