As a Machine Learning Engineer at Fortum, you will develop cutting-edge AI solutions and contribute to a clean energy future. This is your chance to be part of a dynamic team that is passionate about leveraging data to drive innovations in sustainable energy. You will work on new projects, utilizing advanced analytics to solve complex problems and optimize energy solutions. Your work will directly impact our mission to create a cleaner world, and you will play a key role in shaping the future of energy. Join us and be part of something bigger.

ABOUT THE ROLE

At Fortum, we value creativity, collaboration, and the power of data-driven decision-making. You will have the opportunity to develop your skills in a supportive environment, with access to the latest tools and technologies. We offer competitive compensation packages, professional growth opportunities, and the satisfaction of knowing your efforts are contributing to a sustainable future for generations to come. If you are ready to make a difference and embrace the challenge of transforming the energy landscape, Fortum is the place for you. Join Fortum’s Data Science & Optimization team to play a key role in our digitalization and AI journey. Together with a multi-disciplinary team of designers, developers, data scientists and testers, you will work with rapid digital experimentation to prove technical feasibility and usability of new AI use cases.

Main responsibilities will include but not be limited to:

• Design and implement AI and ML solutions in Fortum’s cloud environments (both Azure and AWS) that are robust, scalable, secure and cost-efficient
• Design and automate stable MLOps pipelines with model re-training
• Contribute to best practices development in AI solutions and MLOps
• Communicate with diverse stakeholders and understand the business needs
• Discuss and design interfaces with backend and frontend teams
• Discuss requirements for storage and data maintenance protocols with DevOps, CloudOps, EA architecture and cybersecurity functions
• Coach the team and be open to learn about the energy domain

The position can either be based in Sweden and Solna or Finland and Espoo.

To thrive in this role, you should have an MSc degree in Computer Science, Engineering, or equivalent work experience. A strong background in Machine Learning and MLOps is essential, with at least three years of solid experience in software engineering using Python. You must also be proficient in statistics and data science, having spent a minimum of two years honing these skills. Experience working with cloud solutions, particularly Azure and/or AWS, for over two years is necessary. You should also have a keen interest in the latest AI developments.

• Experience with GenAI, cloud AI services, and different solution concepts (e.g. RAG, model fine-tuning, prompt engineering).
• Familiarity with GitHub Actions service deployment, containers and DevOps practices.
• Excellent communication skills and interest to learn about the energy domain.
• Full professional proficiency in written and oral English