Develop AI and machine learning models that revolutionize industrial projects in the energy transition — from predictive analytics to intelligent process automation.
Work with large datasets, identify patterns, and develop accurate predictions to sustainably optimize the performance of our clients' projects.
Build scalable data pipelines and state-of-the-art cloud architectures to seamlessly capture, analyze, and leverage large volumes of data.
Continuously monitor, optimize, and tune your models, integrate feedback, and ensure we stay at the forefront of the latest AI trends.

Experience with modern machine learning frameworks.
Confident working knowledge of cloud technologies (Azure, AWS, Google Cloud) as well as experience with databases and data pipelines.
Practical skills in Python and data analysis tools, complemented by a basic understanding of DevOps and CI/CD practices.
Passion for current trends and technologies around AI, predictive analytics, generative AI, Large Language Models (LLMs), and deep learning.
Enjoy working in teams, have excellent analytical skills, and a pragmatic “can-do” attitude.

Purpose-driven tech: Work on real challenges of the energy transition and create sustainable technologies with global impact.
Flexible & modern workplace: Enjoy flexible working arrangements, agile methods, and an open team culture with flat hierarchies.
Room for growth: We provide time and space for your personal and professional development — through trainings, conferences, and exciting innovation projects.
Tech stack & innovation: Experiment with the latest technologies, modern tools, and frameworks — with us you’ll always be up to date.

AI & ML Engineer

Key skills