Lead Machine Learning Engineer

About the role

We’re looking for a Machine Learning Lead Engineer who wants to operate as a player-coach — someone still very hands-on, but excited to grow into a proper management role over time. This is not a pure manager role from day one. You’ll be building, shipping, and improving ML systems while gradually taking on more team leadership responsibilities.

What you’ll do:
Build and maintain production-grade ML systems and pipelines
Stay hands-on (coding, reviews, debugging, deployments)
Mentor a small team of ML engineers (2–3 people initially)
Establish ML engineering & MLOps best practices
Improve deployment, monitoring, and model lifecycle management
Collaborate with DS, Risk, Product, and Engineering
Help shape roadmap and hiring

Strong background as an ML Engineer (not purely DS/research)
Experience deploying and running ML models in production
Solid software engineering skills (Python, APIs, systems)
Good understanding of MLOps stack (CI/CD, monitoring, pipelines)
Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes.
Cloud experience (AWS/GCP/Azure)
Some mentoring/leadership experience + desire to grow into management
Nice to have: Experience scaling ML platforms or teams
Fintech / lending / risk domain exposure