Machine learning engineer
Core
Building complex ML products and data solutions on a state-of-the-art MLOps platform to support the energy transition.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Scalable, robust ML models and pipelines operationalized on Azure/Databricks for Stedin's energy network.
Domain
Energy / Utilities / MLOps
Deliverable
production ML models
Required skills
Python, Azure (Databricks, ADLS), MLOps, Kubernetes, Airflow, Spark, analytical problem solving, structured approach
Preferred skills
mentoring less experienced colleagues, driving technical innovation
Technologies
Azure, Databricks, ADLS, Kubernetes, Airflow, Spark
Responsibilities
Develop and improve machine learning models; build and maintain ML pipelines; ensure model scalability and robustness; collaborate with data scientists on model operationalization; participate in daily stand-ups and technical discussions.
Seniority
Mid-level (2+ years experience)
