Machine Learning Engineer (m/w/d) - Potsdam
Core
Developing, stabilizing, and operating a production predictive maintenance AI/ML product for asset management in the power grid.
Role type
Machine Learning Engineer (MLOps)
Builds
Production ML models and data pipelines for predictive maintenance in the energy sector
Domain
Energy / Power Grid / Predictive Maintenance
Deliverable
production ML models
Required skills
Python, PySpark/Spark SQL, Databricks, ETL/ELT pipeline development, Azure, Delta Lake, Unity Catalog, SQL databases, REST APIs, Feature Engineering, Model Retraining, Model Evaluation
Preferred skills
SAP/GIS data experience, Cloud-native data platforms
Technologies
Azure, Databricks, PySpark, Delta Lake, Unity Catalog, SQL, REST, GIS, SAP
Responsibilities
Develop, stabilize, and operate a production AI/ML product including monitoring; Contribute to feature engineering, retraining, evaluation, and quality assurance of ML models; Maintain and optimize ML and data pipelines in Databricks; Extend existing data processing workflows; Ensure clean documentation and handovers with cross-functional teams
Seniority
Mid-level, hands-on IC
