30–31 Aug 2025
St. Xavier's College
Asia/Kathmandu timezone

The map of your AI career

31 Aug 2025, 10:00
30m
0. Main hall - 4th Floor (St. Xavier's College)

0. Main hall - 4th Floor

St. Xavier's College

Maitighar, Kathmandu, Bagmati, 7437, Nepal
Talk Data, AI and ML

Speaker

Andreea Munteanu
Canonical

Description

AI is everywhere nowadays and everyone is looking at how to upskill in this area. In 2023, there were more than 200 thousand jobs related to machine learning and data science on Glassdoor, suggesting the market needs that exist in this space. Yet, whereas exciting, building a career in this space is overwhelming. There are many paths to follow and opportunities out there, but there is little guidance on how to choose between them. The differences between data scientists, data engineers and machine learning engineers are still vague. This challenges young talent to choose their AI careers, leading often to choices that are not informed but rather by chance.
This talk will present AI roles that people can follow. It will highlight the key considerations, necessary skills and long term vision for different careers in the industry. The presentation will include pointers to take infrared decisions for the future role, as well as growth opportunities that are available to everyone. Building a career is difficult, and in a space as dynamic as AI, it is even more intimidating. Together, we can help you build your own AI career map, so it gets easier to get the job you want.

Summary

This talk will present AI roles that people can follow. It will highlight the key considerations, necessary skills and long term vision for different careers in the industry.

What audience can learn

  • skills to get a job in the ML space
  • tips & tricks to transition into a new role

Biography

I help organizations drive scalable transformation projects with open source AI.

I lead AI at Canonical, the publisher of Ubuntu and a provider of open source security, support and services. With a background in data science across industries like retail and telecommunications, I help enterprises make data-driven decisions with AI.

I am passionate about open source and amplifying its impact across regions and industries. I enjoy sharing my knowledge, mentoring young professionals and having an educational impact in the industry.

Difficulty level Begineer

Presentation materials

There are no materials yet.