QA Automation Engineer to Machine Learning Engineer - AI Career Path

Опубликовано: 07 Февраль 2026
на канале: Codemify
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*YouTube playlists for you*:
✅ More about QA Job:    • QA Engineer Job in details  
✅ Our student's reviews:    • Codemify Bootcamp Student Reviews - QA Eng...  

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00:00 — intro
00:24 — Valeriia’s background: from Ukraine to IT career
00:47 — How she got her first internship in tech
01:03 — Starting as a Manual QA in an AI team
01:14 — Loving the QA career (2012–2019)
01:52 — Switching to Automation QA (Java)
02:09 — Senior QA role in Poland + massive layoffs
02:42 — Taking a break because of family and childcare
03:05 — Husband’s role: introducing machine learning
03:44 — Discovering ML and realizing math finally makes sense
04:24 — Why Machine Learning “clicked” for her
04:44 — Why she switched from QA to ML (not running away)
05:11 — Falling in love with new opportunities in ML
05:31 — How long it took to switch from QA to ML
05:41 — Moving from Poland to France + settling in
06:06 — Learning ML: courses, videos, practice
06:25 — Husband as a mentor: creating a learning plan
06:46 — Kaggle: competitions, datasets, practice
07:13 — Getting ML internship through her husband’s company
07:52 — Doing real ML tasks on real projects
08:23 — Guaranteed internship model at Codemify ML course
08:45 — Working on real computer vision tasks
09:01 — Training segmentation models in Python
09:21 — Testing models in real production environments
10:02 — Seeing real-time ML results on factory conveyor belts
11:07 — Challenges switching from QA to ML in France
11:31 — Language barriers: English vs French job search
11:46 — Looking for Junior ML roles after being Senior QA
12:12 — Applying in France: finding a university research position
12:33 — ML research role connected to industrial companies
12:58 — The best part: 50 days of vacation in a government job
13:27 — Was it challenging for QA → ML transition?
13:53 — Importance of support and mentorship in ML learning
14:21 — Her husband’s ML rank: Top 300 on Kaggle
14:47 — How QA background helped in ML engineering
15:11 — Clean code, task estimation, QA mindset as superpower
15:59 — Not starting from zero when switching careers
16:29 — Machine Learning is huge: challenges of learning everything
17:02 — How long it took to find an ML job after finishing the course
17:06 — Number of applications: only 5 sent
17:24 — Two interviews, one successful offer
17:45 — Slow French hiring process explained
18:27 — Lacking confidence at first + continuous learning
18:53 — Final role: Machine Learning Engineer in France
19:09 — What she would do differently if starting again
19:25 — Advice: just start, don’t overthink
19:37 — Importance of support groups and community
20:04 — Staying motivated through difficult first failures
20:24 — Using previous career experience in ML projects
20:50 — Domain knowledge as a competitive advantage
21:04 — Final thanks + QR code + connect on LinkedIn