Nokia Kraków

AI/ML Development – Working Student

Working Student is a long-term paid internship, that allows you to kickstart your fabulous journey in the IT and Telecom world. As our Trainee you can have experience working in such areas that correspond to full-time engineering jobs. The internship usually lasts from 6 to 24 months. We are open to flexible working hours so that you can reconcile working with us with your studies. #OpenToYou

 

Our team is a dedicated unit focused on delivering advanced tools built on cutting-edge technologies that support testing, informed decision-making and data-driven analysis. Your daily activities will involve designing and delivering intelligent automation solutions and transforming data into actionable insights. As a AI/ML Development – Working Student you will take part in creating an inhouse Nokia UE simulator. 

Location: Krakow, Poland (hybrid mode)

Your responsibilities

  • Contribute to transformative AI/ML projects within a dynamic Agile team environment
  • Develop, test, and provide support for the company’s internal tools.
  • Collaborate closely with technical experts to meet and exceed project goals
  • Design and evaluate various ML models for practical applications
  • Document and share your findings, fostering a culture of knowledge and continuous learning within the team

Your skills and experience

Must-Have:

  • Active student status at minimum one year
  • Fluent English (both written and spoken)
  • Availability for at least 25 hours per week
  • Knowledge of Python programming
  • Basic understanding of Linux/Unix based systems
  • Own / university projects on GitHub (please include a link in your CV)
  • Good understanding of Machine Learning techniques and algorithms

Nice-to-Have:

  • Knowledge of Natural Language Processing and Transformers
  • Exposure to AI/ML concepts and frameworks (e.g., TensorFlow/ PyTorch)
  • Basic knowledge of commonly used source control mechanisms, like GIT
  • Basic understanding of data management tools and databases
  • Basic understanding of Docker ecosystem
  • A proactive, open-minded attitude with a strong sense of initiative and a can-do attitude
  • A passion for using technology to solve real world problems and make positive impact