ML Ops Engineer (m/f/d)

ML Ops Engineer (m/f/d)

Location:

Aurich, NI, DE, 26605 Montreal, Quebec, CA, H3B 5M2 Bremen, HB, DE, 28199 Mannheim, BW, DE, 68309 Magdeburg, ST, DE, 39130

Onsite / Hybrid / Remote: Remote ( 50% remote)

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 tomorrows 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 ENERCONs 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

Contact Details

Laura Notholt

+49 171 5281 181

ONE ENERCON – FOR EVERYONE

We stand for openness and inclusion.

People with disabilities are explicitly welcome here.

If you have any questions, please feel free to contact our Inclusion Officer:

Paula Richardson

+49 (0) 175 1661376

Please note that for organizational reasons we can only accept applications via our online portal. As a sustainable company, we kindly ask you to refrain from sending paper applications. If, for exceptional reasons, you are unable to use the portal, please contact us – we will find a solution together.