FutureFit AI
ML Ops Lead
Remote (US) · Director · Full-time
Sponsorship not specified$195k-$220kDetected 23 days ago
PythonSQLPostgreSQLMongoDBRedshiftAWSCloud PlatformsCI/CDRESTMachine LearningAirflowdbtData EngineeringData VisualizationMLOpsA/B TestingCustomer SuccessMentoringPublic Speaking
About the role
- We're seeking a Staff / Principal MLOps Engineer to join our team.
- Our data and ML infrastructure has grown fast alongside the business, and it now needs senior ownership to bring it to where it should be.
- You will come in, assess the state of our pipelines and data architecture with clear eyes, decide what to fix and in what order, and then go fix it yourself.
Responsibilities
- Design data and ML systems that are anchored in customer needs and built to last, with clear tradeoffs documented so the team can build on them.
- Your grit, hunger, and drive are.
- AI provides data points to support our team's evaluation but does not make or recommend final hiring decisions.
- Deep experience building and operating production data pipelines and ML workflows at scale
- Comfort mentoring and leveling up a small data and engineering team while you build
Requirements
- Staff or principal-level experience in MLOps, data engineering, or ML platform/infrastructure
- A track record of walking into complex, fast-grown systems, diagnosing the real problems, and materially improving them
- Experience standing up MLOps practice (CI/CD for models, experiment tracking, feature stores, monitoring) from an early stage
- Publications, presentations, blog posts, or other public artifacts showcasing your expertise and knowledge of best practices in MLOps
Skills
- Be Curious
- Drive to Outcomes
- Raise the Bar
- Speed Matters
- Own It
- We Over Me
Compensation
- We are open to engaging this role as a six-month contract with potential to convert, or as a full-time hire.
- For the full-time path, the base salary range is 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.
- The final figure reflects the varying levels of expertise and responsibilities that will be determined through the interview process, based on applied experience and other criteria established by the hiring committee.
- At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences.
- We move fast and work with intensity, so we want you to get a real sense of that from the start.
Company info
- Online Application
- Initial Screen with Director of People & Culture
- Interview with Hiring Manager
- Performance Challenge
- Final 1:1 Interviews
- Final Decision
- Workforce development agencies and intermediaries, government agencies, employers
- This is a role for someone senior enough to write systems designs grounded in what our customers actually need, and hands-on enough to be in the codebase implementing them.
- We are open to running this as a six-month contract or as a full-time hire, depending on fit and what you are looking for.
- [CA/US Remote] We are open to candidates living anywhere in Canada or the US.
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This listing is sourced directly from FutureFit AI's careers page and normalized into a canonical job model.