Machine Learning Engineer

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