About INNIO GroupINNIO Group is a global distributed energy solutions provider that delivers reliable, flexible, transient, decentralized, modular and efficient power. With a track record of innovation, INNIO designs, manufactures and services high‑performance power systems under its Jenbacher and Waukesha brands. The company delivers power for applications including data centers, microgrids, grid stabilization, industrial energy and gas compression.INNIO operates a global installed base across approximately 100 countries as of December 31, 2025, supported by a resilient, high‑margin services business that delivers long‑term, recurring revenues across the full equipment lifecycle. As electricity demand accelerates—driven by AI, electrification and grid constraints—INNIO enables scalable, behind‑the‑meter power generation with high efficiency, fast start capability, strong transient performance and fuel flexibility, including hydrogen‑ready solutions. INNIO employs over 5,000 people worldwide and is committed to moving energy forward.What INNIO offers you:
- An innovative and international working environment
- Flexible working time model (depending on position and role)
- Health We Care program – including company sports activities
- Moving cost support for new employees in accordance with policy
- Good connections to public transport – station in direct proximity
- Transportation cost support in accordance with policy
- One of the best canteens in the area with healthy and various meals
- Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities
Your Responsibilities:
- Work in the Data Science Team of the INNIO Digital organization on exciting Data Science and Software Development tasks with a strong focus on energy markets and INNIO's cloud-based myplant Energy Management product
- Work on power plant optimization and simulations for the customers of our energy management solution
- Implement complex algorithms and analytics from idea generation over development to product release
- Apply related software development standards, guidelines, design practices and legal instructions to design reliable and compliant products
Your Qualifications:
- Bachelors / Master’s degree (or equivalent) in Computer Science, Mathematics or any other related degree
- Working experience in machine learning model design, development and validation (Python, PyTorch, TensorFlow, SciKit)
- Working experience in implementing Python applications and webservices (Dash, Flask, FastAPI)
- Experience with Linear Programming / Optimization methodologies and solvers (MILP, SCIP, CBC, Pyomo)
- Experience with databases (relational and/or NoSQL)
- Experience in consuming REST and GraphQL APIs
- Knowledge about energy markets and trading (EPEX / Day-Ahead, Intraday, Control Power Market) and regulatory frameworks for grid operations
Nice to have:
- Experience with large time-series data sets
- Experience with Prefect pipelines and/or MLOps (i.e. MLflow)
- Experience with cloud-based, containerized microservice architectures (Kubernetes, Docker)
- Experience with additional programming languages (Java, JavaScript)
At INNIO, we offer an attractive compensation package that is above the collective agreement for the metal industry. Your qualifications and experience will be considered in an open dialogue during the recruiting process to ensure a market-competitive compensation package.