Solar Turbines is a global producer of industrial gas turbines. Our Solar Digital team develops modern digital tools and AI solutions that help customers operate their equipment safely, efficiently, and sustainably.
We are looking for motivated master's program students who want hands‑on experience with LLMs and multilevel agent development. This part‑time position allows you to work on real projects during your studies.
What You Will Work On
- Helping test, apply, and improve generative LLMs
- Supporting the development of machine learning models used in predictive analytics
- Working with different types of data, including time‑series, text, structured and unstructured data
- Assisting with data preprocessing and preparing data for model training
- Helping build simple AI pipelines
- Collaborating with software engineers, data scientists, and mechanical engineers
- Writing basic documentation to track experiments and solutions
- You will receive support and guidance from experienced team members.
What We Expect from You
- You are a university student of master's program in Computer Science, AI, Data Science, or a similar field
- Basic Python programming skills
- Basic understanding of machine learning concepts
- Hands-on experience with Generative AI, agentic systems
- Experience with Git or similar version control tools
- Familiarity with cloud platforms (AWS, GCP, Azure) or Docker is an advantage
- Experience from school projects, hobby projects, or internships is welcome
- Ability to work in a team and good communication skills
- Curiosity and willingness to learn
What You Will Gain
- Experience working on real AI projects used in industry
- Exposure to modern tools and methods (LLMs, cloud, ML engineering)
- Work in an international engineering environment
- Flexible working hours suitable for students
- Opportunity to contribute to sustainable and innovative energy solutions
Any offer of employment may be conditioned upon the successful completion of a background screening.
Minimum salary: 250CZK/hour, up to 20 hours per week contract.