Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
Core
Developing and maintaining backend ML services and MLOps infrastructure to support route planning and operational estimation for a same-day delivery service.
Role type
Machine Learning Engineer (MLOps & Software Engineering)
Builds
Backend services for route planning estimators, ML feature pipelines, and CI/CD infrastructure
Domain
Logistics / Delivery Operations / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Python, automated testing (pytest), Cloud environments, CI/CD pipelines, basic ML concepts (training/inference/retraining/evaluation)
Preferred skills
Experience with Databricks, refactoring code architecture, collaborating with data scientists
Technologies
Python, pytest, Databricks, Azure DevOps
Responsibilities
Ensure stability and maintainability of backend estimation services; maintain code quality and structure in ML repositories; deploy models and feature pipelines to production; build and manage CI/CD pipelines; monitor cloud system reliability and drive process improvements
Seniority
Mid-level, hands-on IC