We’re looking for a hands-on Machine Learning Engineer who loves turning data into real-world impact. If you come from a strong software background and enjoy building ML systems end-to-end — this one’s for you.
What you’ll be doing
- Build and run end-to-end ML pipelines — from raw data to production
- Train, validate, and deploy models
- Containerize and deploy services using Docker and Kubernetes
- Work with AWS to move data, manage infrastructure, and scale solutions
- Collaborate closely with DevOps using modern CI/CD (Git-based workflows)
- Monitor models in production (Datadog, performance tuning, load testing, etc.)
- Take part in developing smart pricing & risk models (segmentation, behavioral models, scoring, and more)
What we’re looking for
- 2+ years of experience working with ML systems in production
- Background in Computer Science / Software Engineering (or similar)
- Strong Python skills and experience writing production-level ML code
- Hands-on experience with AWS and ML pipelines
- Solid experience with Docker, Kubernetes, Git, and CI/CD
IL
