Senior ML Ops Engineer | High-Growth AI Startup | $190,000 - $210,000 | Boston (Hybrid)
A venture-backed AI startup is expanding its engineering team and hiring a Senior MLOps Engineer to build and scale production-grade AI systems for healthcare automation.
This role is focused on building secure, scalable AI infrastructure that supports real enterprise deployment.
Responsibilities:
- Deploy NLP, OCR, and multimodal AI models in secure cloud environments
- Design scalable ML pipelines with strong observability, reliability, and performance
- Build data schemas and ETL workflows for annotations, training, tuning, and benchmarking
- Establish best practices in experiment tracking, model versioning, and reproducibility
- Write high-quality, maintainable production code
- Build internal AI tools to support engineering and product teams
- Identify and mitigate technical risks early in the release cycle
Requirements:
- 8–10+ years total engineering experience
- 4+ years in MLOps, SRE, DevOps, ML Platform, or similar
- Strong background in AI data modeling, versioning, and annotation workflows
- Recent experience delivering scalable enterprise AI products
- Familiarity with MLflow, LangChain, LangFuse, W&B, CrewAI, or similar frameworks
- Understanding of monitoring, experiment comparison, and evaluation frameworks
- Experience with multiple database technologies
- Strong communication skills and comfort in cross-functional environments
- Preference for candidates with a mix of startup and tech-company experience
- Heavy big-bank or Fortune 500 backgrounds are less aligned
Why This Role:
- High-impact AI work in a complex, meaningful domain
- Early-stage ownership with influence over AI architecture and engineering culture
- Competitive compensation, equity, benefits, and flexible time off
- Flat structure and direct access to leadership
Location: Boston area (hybrid). Local candidates preferred.
