Senior MLOps Engineer

ABOUT THE ROLE

We're hiring a Senior MLOps Engineer to be the data team's owner of production ML operations. You'll build the pipelines that take models from prototype to production, own the low-latency serving API behind our Next Best Action (NBA) engine, and stand up the monitoring, alerting, and reliability layer that keeps NBA models — and the LLM agents that consume them — healthy in production. This is a builder's role at a builder's moment: NBA is going live, the production ML platform is being shaped now, and you'll define how Clutch ships and operates AI for years to come. When there isn't active MLOps work, you'll also contribute to data engineering and machine learning work across the team.

ABOUT THE TEAM

The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — ML models heading to production, a serving API being built, and AI agents in active development. You'll be the senior MLOps voice inside the team and the operational bridge to HAL, the platform team that runs Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity.

What You'll Do

Within 3 months, you will:

- Take ownership of the ML serving API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic

- Build the first repeatable deployment pipeline: model artifact → versioned, deployable, rollback-able production service, with infrastructure defined as code

- Stand up the monitoring foundation: latency/error/drift dashboards, alerting, and audit/trace visibility across models and agents

- Build a working relationship with HAL and become the data team's go-to on ML serving and reliability decisions

Within 6 months, you will:

- Be the primary owner (with data engineer support) of the ML serving platform and deployment pipelines for NB...