ML Ops Lead

FutureFit AI • New York, NY

1d • $195,000 - $245,000 • Remote

About The Position

We are seeking a Staff / Principal MLOps Engineer to join our Data team. Our data and ML infrastructure has grown rapidly and requires senior ownership to bring it to the next level. The role involves assessing current pipelines, data architecture, and ML workflows, developing a prioritized plan for improvements, and then hands-on implementation. This is an opportunity for a senior individual who can design systems based on customer needs and also implement them. The position can be structured as a six-month contract or a full-time hire.

Requirements

• Staff or principal-level experience in MLOps, data engineering, or ML platform/infrastructure.
• Proven ability to diagnose problems and improve complex, fast-grown systems.
• Strong systems design ability to translate needs into durable, scalable architecture.
• Clear communication of system designs.
• Hands-on experience in the codebase implementing fixes.
• Deep experience building and operating production data pipelines and ML workflows at scale.
• Fluency with the modern data and ML stack.
• Fluency with cloud infrastructure.

Nice To Haves

• Experience establishing an MLOps practice (CI/CD for models, experiment tracking, feature stores, monitoring) from an early stage.
• Background in mission-driven, workforce, or government-adjacent data environments.
• Publications, presentations, blog posts, or other public artifacts showcasing expertise in MLOps best practices.
• Comfort mentoring and developing a small data and engineering team.

Responsibilities

• Evaluate current pipelines, data architecture, and ML workflows.
• Produce a prioritized, opinionated plan for necessary changes.
• Design data and ML systems anchored in customer needs and built to last.
• Document clear tradeoffs in system designs.
• Rebuild and harden pipelines.
• Upgrade the data architecture.
• Implement fixes and improvements directly.
• Raise the bar on observability, reliability, and data quality.
• Establish patterns and practices for the team.

Benefits

• Potential for conversion from contract to full-time.
• Hybrid work schedule option for office-based employees.
• Travel up to once per quarter for offsites and team gatherings.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed