ML Ops Engineer (m/f/d)
About The Position
ENERCON has been a technology leader in the wind power sector for 40 years, known for its innovative drive concepts, rotor blade design, control technology, and grid connection technology. The company is seeking an ML Ops Engineer to contribute to shaping the future of renewable energies. This role involves developing and implementing an ML Operations framework to ensure continuity of knowledge and results throughout the lifecycle of assets, collaborating with various teams for smooth and scalable rollout of ML models, and supporting the development of ENERCON's AI governance.
Requirements
- Completed degree in Computer Science, Business Informatics, or a comparable qualification
- Solid experience with common ML frameworks (e.g., Databricks MLflow, TensorFlow, PyTorch, scikit‑learn) and in building scalable data and ML pipelines
- Experience with CI/CD processes for machine‑learning workflows, including monitoring, logging, and secure deployment in production environments
- Proficient use of cloud platforms (e.g., Azure) and tools such as Unity Catalog, Git, and modern data‑engineering technologies (e.g., PySpark, Databricks)
- Knowledge in securing ML pipelines and responsibly handling sensitive data
- Strong analytical and communication skills, paired with enthusiasm for teamwork
Responsibilities
- Development of guidelines and policies as well as professional support to ensure the company‑wide Gold Standard for AI
- Development, implementation, and monitoring of the Machine Learning Operations framework to guarantee knowledge and results continuity throughout the entire lifecycle of our assets
- Close, cross‑functional collaboration with Data Science, Data Engineering, DevOps teams, and relevant stakeholders to ensure smooth, secure, and scalable rollout and lifecycle management of ML models and AI agents across the organization
- Active support in building and further developing ENERCON’s AI governance
- Identification and implementation of optimization potentials in the development, deployment, and productive operation of machine‑learning models and AI agents
- Continuous evaluation of the business value of advanced analytics products
Benefits
- Opportunity to work up to 95% remotely
- 30 days of vacation per year
- Flexible working hours through modern working‑time models
- Internal and external training opportunities through the ENERCON Academy
- Comprehensive support for company pension schemes
- Private occupational disability insurance under special conditions
- Financial support for various forms of capital‑forming benefits
- An international onboarding process with a well‑structured induction plan
- A company-wide, hierarchy‑spanning first‑name culture as an integral part of our corporate identity
- Extensive benefits package including company fitness programs (Hansefit and JobRad)
- Exciting and varied tasks in the green growth sector of wind energy
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
