During this internship, you will learn how to start and successfully finish a Machine Learning (ML) project with a touch of cloud and project management. When it comes to Machine Learning, there’s a broad range of topics you can choose from. Each topic is linked to one specific domain, such as NLP, CV, time-series analysis, etc. As well as learning how to create a good working solution, you’ll also learn how to make it sustainable. This can include deploying your solution on the cloud or looking into some MLOps practices. Finally, you will also learn how to manage ML projects. This includes setting deadlines, making sure they are met, as well as how to report properly about your project.

- You are fluent in English, both written and verbally.
- You have strong analytical skills and are familiar with the basics of machine learning.
- You are available for at least 6 weeks (full-time), or an equivalent amount of days part-time.
- You know your way around Python.
- You know how to work with source control tools (git, conda, pip).
- Familiarity with statistical Python tools such as Spacy, TensorFlow, or Torch is a plus.
- Experience in back-end (e.g. FastAPI), front-end (e.g. Vue, Angular), and cloud infrastructure (e.g. AWS) is another plus.