Senior AI/ML Software Engineer (E-Lab)

We are looking for an enthusiastic and innovative code ML ops craftsman who is motivated by exploring the frontiers of AI applications in a multinational energy company and is ready to be a part of a team dedicated to shaping the future of the sector. Our ambition is the radical improvement of the energy industry through application of cutting-edge ML/AI solutions, IT and technology.

Want to make an impact by developing modern energy solutions? 

E-Lab's inter-cultural teams' main objective is to establish a central competence centre for promoting ML driven innovation in Enefit across all markets and business categories. The Senior AI/ML Software Engineer will spearhead the development of innovative AI/ML applications within an agile team composed of talented software engineers and data scientists servicing the entire Enefit group of companies, focusing on backend development, cloud-native services, and extracting business value from machine learning integration.  

With us, you can:

• develop industry-leading innovative solutions for the energy market in a multinational organization; 

• work in a fast-changing environment in loosely structured self-organizing team using modern agile processes; 

• work together with experts in the field and have ample opportunities for self-development; 

• be part of our inner IT community and work with experts of different skills and backgrounds; 

• you will have 5 additional vacation days after the 1st year of work and part of the motivating performance reward system; 

• you will have the opportunity to join Stebby platform facilities and/or health insurance, which will allow you to use sports and medical services on favourable terms; 

• you will have fun, friendly, reliable, and professional colleagues, who are experts and true enthusiasts in their field;  

• you will have flexible working hours and remote work opportunities.

You are a great match if you have:

• at least of 5 years of software development experience; 

• proficiency in Python for building backend systems, particularly using frameworks such as FastAPI; 

• containerization experience with Docker, and orchestration using Kubernetes; 

• strong knowledge of cloud platforms; 

• expertise in DevOps practices; 

• strong ability to lead technical discussions, mentor junior developers, and foster a collaborative team environment;  

• proficiency with other languages such as Java, C#, or Go to contribute to multi-language environments; 

• great communication skills to collaborate with cross-functional teams, including data scientists, engineers, and product managers.