Senior ML Ops Engineer (Boston)

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 environmentsDesign scalable ML pipelines with strong observability, reliability, and performanceBuild data schemas and ETL workflows for annotations, training, tuning, and benchmarkingEstablish best practices in experiment tracking, model versioning, and reproducibilityWrite high-quality, maintainable production codeBuild internal AI tools to support engineering and product teamsIdentify and mitigate technical risks early in the release cycleRequirements:8–10+ years total engineering experience4+ years in MLOps, SRE, DevOps, ML Platform, or similarStrong background in AI data modeling, versioning, and annotation workflowsRecent experience delivering scalable enterprise AI productsFamiliarity with MLflow, LangChain, LangFuse, W&B, CrewAI, or similar frameworksUnderstanding of monitoring, experiment comparison, and evaluation frameworksExperience with multiple database technologiesStrong communication skills and comfort in cross-functional environmentsPreference for candidates with a mix of startup and tech-company experienceHeavy big-bank or Fortune 500 backgrounds are less alignedWhy This Role:High-impact AI work in a complex, meaningful domainEarly-stage ownership with influence over AI architecture and engineering cultureCompetitive compensation, equity, benefits, and flexible time offFlat structure and direct access to leadershipLocation: Boston area (hybrid). Local candidates preferred.