Machine Learning Engineer (m/w/d) - Predictive Maintenance
Core
Developing, stabilizing, and operating a production Machine Learning product for predictive maintenance to optimize asset management in the power grid network.
Role type
Machine Learning Engineer (MLOps)
Builds
Production ML models and data processing pipelines for asset management optimization
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, Feature Engineering, Model Retraining, Model Evaluation
Preferred skills
SAP/GIS data experience, REST-API integration, technical operations understanding
Technologies
Azure, Databricks, Delta Lake, Unity Catalog, Python, PySpark, Spark SQL, REST, SAP, GIS
Responsibilities
Develop and maintain ML models for predictive maintenance; Manage and optimize ML/data pipelines in Databricks; Extend data processing workflows; Collaborate with business units and IT; Ensure model monitoring and quality assurance
Seniority
Mid-level, hands-on IC
