Machine Learning Operations Director

7 days ago


San Francisco, California, United States Early Warning® Full time

At Early Warning, we empower the US financial system with cutting-edge solutions. As a trusted leader in payments, we partner with institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to foster collaboration.

Eligible candidates must independently possess the eligibility to work in the United States at the date of hire. This position is ineligible for employment Visa sponsorship.

Position Overview

The Director, Machine Learning Operations will lead the team responsible for developing, deploying, and maintaining machine learning models. This role requires strategic leadership, technical expertise, and excellent communication skills.

  • Manage a team of ML Ops Engineers and oversee day-to-day activities to maintain technical excellence.
  • Develop strategic direction for ML Ops team, platform, and infrastructure, focusing on governance, optimization, and automation.
  • Design, build, and maintain scalable ML infrastructure and pipelines for model training, deployment, and monitoring.

The successful candidate will have 12+ years of experience in Data Science, ML Engineering, or ML Ops capacity, including 5 years of managing highly technical employees. Expert programming skills in Python, experience with AWS services and architecture, and proficiency with containerization technologies (Docker, Kubernetes) are required.

Paid Time Off - Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

Estimated Salary Range: $190,000 - $220,000 per year in Phoenix, AZ; $220,000 - $240,000 per year in San Francisco, CA and New York, NY. Discretionary bonus and benefits available.



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