AI & MLOps Engineer

enercity Netz GmbH is a leading energy provider committed to shaping a sustainable future through innovative solutions and responsible energy management. Based in Hannover, enercity Netz GmbH plays a vital role in the development and operation of modern energy infrastructure, focusing on renewable energy integration, smart grid technologies, and digital transformation. Our mission is to deliver reliable, efficient, and environmentally friendly energy services to our customers and communities.

We foster a collaborative and inclusive work environment that encourages creativity, continuous learning, and the pursuit of excellence. As part of our commitment to social responsibility and technological advancement, we are dedicated to creating a workplace where every employee can thrive and contribute meaningfully to societal progress.

We are seeking an experienced AI & MLOps Engineer (m/w/d) to join our dynamic team in Hannover. In this role, you will be at the forefront of developing and deploying cutting‑edge artificial intelligence and machine learning solutions that enhance our energy infrastructure and services. Your responsibilities will include designing scalable AI software solutions, managing machine learning pipelines for model deployment and monitoring, and integrating AI functionalities into our existing systems.

You will collaborate closely with data scientists, software engineers, and stakeholders to develop APIs and architectures that facilitate data and AI integration, ensuring compliance with established standards for model governance and software quality. Additionally, you will implement modern Dev Ops and MLOps practices on Microsoft Azure to ensure the stability, security, and scalability of our AI applications. This position offers a unique opportunity to influence the digital transformation of the energy sector by leveraging innovative AI technologies and cloud platforms, contributing directly to a sustainable and efficient energy future.

The ideal candidate holds a completed Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a comparable field. You bring several years of professional experience in developing, optimizing, and deploying AI, machine learning, or NLP applications in production environments. You are well‑versed in building and managing AI models, with a proven track record of successful deployment and operation. Familiarity with classical data science techniques such as predictive modeling, forecasting, and recommendation systems is essential.

Experience with frameworks and tools for Large Language Model applications, such as Lang Chain, Llama Index, Haystack, or Semantic Kernel, is highly desirable. Proficiency in Python, Git, automated testing, and CI/CD pipelines forms the core of your development toolkit. You have practical experience working with cloud‑native AI and ML services, ideally in Microsoft Azure, though AWS experience is also valuable.

Your approach is structured and solution‑oriented, with a high degree of responsibility and excellent command of English, both written and spoken. A passion for innovative technology and continuous learning is essential.

• Develop and optimize software solutions that incorporate AI and machine learning technologies, ensuring their results are reliable, scalable, and ready for production deployment.
• Design, build, and maintain machine learning pipelines for model management, testing, deployment, monitoring, and experiment tracking, transitioning prototypes into operational systems.
• Implement AI APIs and Large Language Model–based applications, ensuring seamless integration and functionality within existing and new…