ML Ops Lead

Role Overview

We're seeking a Staff / Principal MLOps Engineer to lead our data and ML infrastructure. This role can be either a 6-month contract or a full-time position.

About the role

Join our high-velocity, high-intensity, high-trust, high-bar, high-impact team. We're focused on helping more people get better jobs faster and cheaper, especially those facing barriers to opportunity. Our AI platform improves workforce development by replacing outdated systems and unlocking human potential at scale.

Responsibilities

• Evaluate current pipelines, data architecture, and ML workflows, and develop a prioritized plan for improvement.
• Design and implement robust, scalable data and ML systems that meet customer needs.
• Lead hands-on implementation of pipeline improvements, data architecture upgrades, and other fixes.
• Raise the bar on observability, reliability, and data quality, setting industry standards for the team to follow.

Requirements

• Staff or principal-level experience in MLOps, data engineering, or ML platform/infrastructure.
• A track record of improving complex, fast-growing systems.
• Strong systems design ability, translating customer and product needs into durable, scalable architectures.
• Genuinely hands-on approach, comfortable in both design docs and the codebase.
• Experience building and operating production data pipelines and ML workflows at scale.
• Fluency with the modern data and ML stack and cloud infrastructure.

Qualifications

• Experience standing up MLOps practices, including CI/CD for models, experiment tracking, feature stores, and monitoring.
• Background in mission-driven, workforce, or government-adjacent data environments.
• Publications, presentations, or other public artifacts showcasing expertise in MLOps.
• Comfort mentoring and leveling up a small data and engineering team while building.

Skills

• SQL, Python
• Airflow, dbt
• PostgreSQL, Redshift, MongoDB
• AWS SageMaker
• Looker
• AWS ecosystem (S3, Lambda, Glue, Redshift)

Benefits

Our tech stack includes languages, data orchestration and transformation tools, data storage and warehousing solutions, machine learning platforms, visualization tools, and cloud infrastructure. We offer competitive compensation, with a base salary range of USD $195,000 to $245,000 for candidates based in New York and CAD $175,000 to $220,000 for candidates based in Toronto, benchmarked to the middle of the market for comparable venture-backed companies. For the contract path, the rate range is USD $120 to $170 per hour, commensurate with level.

Pay

Base salary range: USD $195,000 to $245,000 for candidates based in New York and CAD $175,000 to $220,000 for candidates based in Toronto.

Schedule

The role is remote (US or Canada), with occasional travel up to once per quarter for offsites and team gatherings.

Company Snapshot

FutureFit AI is a SaaS/AI technology company focused on workforce development. We are bootstrapped and have raised funding led by JP Morgan. Our team is 30-50 across US and Canada, with hubs in NYC and Toronto. We are committed to diversity and inclusion and use AI tools to make our hiring process more efficient and equitable.