
11 - 50 employees
💰 Seed Round on 2022-03
FutureFit AI partners with Fortune 500 companies, governments, and workforce development organizations to provide an AI-powered tool that acts as a GPS to help workers navigate career transitions, supporting them from career navigation, to reskilling, to job placement.
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11 - 50 employees
💰 Seed Round on 2022-03
FutureFit AI partners with Fortune 500 companies, governments, and workforce development organizations to provide an AI-powered tool that acts as a GPS to help workers navigate career transitions, supporting them from career navigation, to reskilling, to job placement.
• Evaluate current pipelines, data architecture, and ML workflows, producing a prioritized, opinionated plan for what needs to change and why • Design data and ML systems anchored in customer needs and built to last • Rebuild and harden pipelines, upgrade data architecture, and ship fixes directly • Raise the bar on observability, reliability, and data quality, establishing patterns and practices for the team.
• 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 • Strong systems design ability: you can translate customer and product needs into durable, scalable architecture • Genuinely hands-on: you are as comfortable in the codebase implementing the fix as you are in the design doc • Deep experience building and operating production data pipelines and ML workflows at scale • Fluency with the modern data and ML stack and the cloud infrastructure it runs on.
• Potential to convert to full-time role • Hybrid schedule available in NYC or Toronto
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