Director, Machine Learning Operations Engineering

Early Warning Services is a trusted name in payments, powering solutions like Zelle® and Paze℠ while protecting the U.S. financial system for over thirty years. They're seeking a Director of Machine Learning Operations Engineering to lead their ML infrastructure and operations team.

This senior leadership role combines technical expertise with team management, requiring 12+ years of experience in ML Engineering or MLOps. The position offers competitive compensation ranging from $190,000 to $250,000 depending on location, with higher ranges for San Francisco and New York City offices.

The role involves leading a team of ML Ops Engineers while architecting and maintaining the company's machine learning infrastructure. Key responsibilities include developing strategic direction for ML Ops, optimizing model deployment processes, and ensuring robust monitoring systems. The ideal candidate will have expert-level Python skills, deep AWS experience, and proven experience with containerization technologies.

The position offers an attractive benefits package including unlimited PTO for exempt employees, comprehensive healthcare coverage, 100% 401(k) match on the first 6%, and 12 weeks of paid parental leave. The company follows a hybrid work model in their office locations, promoting a collaborative environment while maintaining flexibility.

Early Warning Services serves approximately 2,500 financial institutions and government entities, making this an opportunity to impact financial technology at scale. The role combines technical leadership with strategic planning, requiring someone who can both manage teams and maintain technical excellence in a fast-paced fintech environment.