Lead Machine Learning Engineer
Core
Build, ship, and improve production-grade ML systems and pipelines while mentoring a small team of engineers.
Role type
Lead Machine Learning Engineer (player-coach)
Builds
Production ML systems, MLOps pipelines, and deployment infrastructure
Domain
Fintech / lending / risk
Deliverable
production ML models
Required skills
Python, API development, systems engineering, MLOps stack (CI/CD, monitoring, pipelines), MLflow, Airflow, Evidently, DVC, Docker, Kubernetes, AWS/GCP/Azure
Preferred skills
Scaling ML platforms, scaling teams, fintech/lending/risk domain exposure
Technologies
MLflow, Airflow, Evidently, DVC, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Build and maintain production-grade ML systems and pipelines; Mentor a small team of ML engineers; 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
Seniority
Senior, hands-on IC transitioning to management
