Benefits:

• Hybrid work model

• Budget to visit important conferences, read up on papers and develop skills

• Egym wellpass (qualitrain) membership

• Regular team events

• Public transport subsidy

Education Requirements:

• Master's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field

• or Bachelor's degree with at least 2 years of experience in professional software engineering

Experience Requirements:

• Experience contributing to open-source projects

• Experience creating and deploying Machine Learning, Data Science or generative AI Projects

• Solid foundation in Python programming and professional software development principles (e.g. unit testing, code reviews, version control)

• Expert knowledge in Machine Learning, Statistics and Numerical Methods (Advantageous)

• Experience in creating and deploying production ready generative AI solutions, including RAG and Agentic Systems in Python (Advantageous)

Other Requirements:

• Team player with curiosity and eagerness to grow in AI/ML engineering, good problem solving skills, and a drive for excellence

• Experience in writing on technical topics for a general audience (e.g., blog posts, magazine articles) (Advantageous)

• Experience in teaching or creating teaching materials (Advantageous)

Responsibilities:

• Contribute to research projects by designing software that allows for quick experimentation and rigorous evaluation of research ideas

• Create and deploy GenAI Applications (from RAG to agentic systems) for internal or external use

• Support the creation of training materials and demos on GenAI, Machine Learning and Software Engineering

• Contribute to open-source Python packages

• Participate in hackathons and other events to solve challenges and stay engaged with the AI/ML community