Kuidas toimub uute töötajate onboarding ja koolitus projektis?

Onboarding of new employees in ML projects typically involves several stages:

1. Introduction to the project and team: familiarization with business goals, system architecture, technologies, and tools used.

2. Training on data specifics: explanation of data sources, formats, quality, and processing characteristics.

3. Setting up the work environment: assistance with installing necessary libraries, accessing repositories, computational resources (e.g., GPU).

4. Training on development and deployment processes: familiarization with pipelines, CI/CD, model monitoring.

5. Mentoring and practice: assigning a mentor, performing initial tasks with feedback.

6. Documentation and self-learning resources: providing guides, coding styles, examples.

This approach helps quickly integrate into the project, understand business and technical aspects, and contribute effectively.