ML Ops Engineer (m/f/d)

ENERCON has been one of the technology leaders in the wind power sector for 40 years. As the first manufacturer of wind turbines, the company used a gearless drive concept that is a characteristic of all ENERCON wind turbines. ENERCON is also at the forefront in other areas, such as rotor blade design, control technology, grid connection technology, and with its wide range of technological new developments, proves its innovative strength time and again.

ML Ops Engineer (m/f/d)

Innovative ideas are the hallmark of our successes and move us on. We are passionate about realizing wind energy projects across the globe and meeting tomorrow's energy technology challenges. You and your engagement can make a contribution to shape the future of renewable energies.

Your Tasks

• 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

Your Qualifications

• 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

Your 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

We stand for openness and inclusion

People with disabilities are explicitly welcome here.