ML Ops Lead

🕒 June 8

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $195k - $220k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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FutureFit AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Seed Round on 2022-03

Artificial Intelligence • B2B • SaaS

FutureFit AI is a software development company that empowers workers with an AI-powered tool designed to serve as a GPS for career navigation. By partnering with Fortune 500 companies, governments, and workforce development organizations, FutureFit AI provides solutions that support career transitions, from upskilling and reskilling to job placement. Utilizing over 350 million global talent profiles and proprietary algorithms, the company offers personalized roadmaps for learning and career support, effectively harnessing data to optimize workforce development and planning.

📋 Description

• 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.

🎯 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 • 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.

🏖️ Benefits

• Potential to convert to full-time role • Hybrid schedule available in NYC or Toronto