AI & ML Engineer (m/w/d)
Core
Develop intelligent, data-driven solutions for the energy sector, focusing on time-series analysis, forecasting, and process optimization to enable sustainable energy management.
Role type
Senior Machine Learning Engineer (Time-Series & Forecasting)
Builds
Production-ready AI models and systems for industrial energy projects
Domain
Renewable Energy / Industrial IoT / Time-Series Forecasting
Deliverable
production ML models
Required skills
Python, Time-series analysis, Forecasting, Predictive analytics, MLOps, Kubernetes, CI/CD, GitOps, Cloud infrastructure, Infrastructure-as-Code, API development, Database management
Preferred skills
Agentic AI, Foundation Models, Industrial data protocols (Modbus TCP, MQTT)
Technologies
Python, Kubernetes, Docker, Git, Cloud platforms (AWS/Azure/GCP), ML frameworks (PyTorch/TensorFlow/Scikit-learn), Prometheus/Grafana, Airflow
Responsibilities
Develop and deploy AI solutions for industrial energy projects; Integrate new technologies like Agentic AI and Foundation Models into production; Manage MLOps pipelines including experiment tracking, model registry, and monitoring
Seniority
Senior, hands-on IC
