Senior ML Ops Engineer

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.