Develop predictive models and make sense of data across industries. Over time, you can get some of the responsibilities of the position Deep learning engineer, or get more into consulting and project management.
- develop machine learning models (the whole spectrum from clustering to neural nets)
- analyze all kinds of data from various industries, validate hypotheses, search for relations
- generate ideas, ask and answer questions, approach and solve great variety of problems across industries
- create data processing pipelines in Python and work with external data engineering teams
Requirements: experience in at least 3 out of the 4 mentioned below
You will learn: knowledge of statistics and machine learning theory, Python, SQL, machine learning tech stack (docker, git & CI, bash, ...)