AI Intern

What tasks need to be solved

— Participate in ML product management: analyze technical and product metrics, propose hypotheses, identify growth areas

— Participate in planning and launching A/B tests, be able to interpret the results

— Work in conjunction with Data Scientist, Data Analyst: gather requirements, form and decompose tasks, synchronize the team on statuses

— Prepare product materials, participate in presenting results

To solve these tasks, you will need

— Basic experience with product documentation (Notion, Confluence, or similar) and task trackers

— Analytical and structured thinking, ability to work with data (tables, SQL — advantage)

— Interest in data and Machine Learning, understanding of ML model principles

— Knowledge of product frameworks and understanding of the product lifecycle (experience with them – advantage)