ML Data Associate ring engineering services - ML Data Associate bei Amazon: Mitarbeiterbewertung

2.0
27. Juli 2025
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CEO-Befürwortung
Geschäftsprognose

Pros

Perfect for freshers, especially non-CS grads or early tech aspirants ₹2.8 LPA to ₹4.2 LPA (varies by location and team) | Resume booster + LinkedIn profile credibility Intro to ML workflows, AI tools, and data ops You’ll be trained before working on production tasks Work from office (few hybrid options rarely available)

Kontras

Daily tasks involve labeling/tagging – not creative or problem-solving No core ML model-building You work on data, not the actual machine learning algorithms Limited vertical growth Promotions can be slow unless you upskill (Python, SQL, analytics) Transition to other teams needs effort You’ll have to apply internally and justify skill upgrades

Mehr Bewertungen zu Amazon entdecken

5.0
17. Mai 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

-Great team and manager -Lots of resources to learn -Flexible

Kontras

-Pace can be brutal -Can have lots of meetings

5.0
10. Jan. 2016
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

Really smart people, a lot of opportunity for growth, always encouraged to be innovative, think big, and create something new. Competitive salary and benefits with other major tech companies. 100% self motivating work environment. No dress code and 4 legged friends are welcome.

Kontras

You have to be self motivated. NO ONE will hold your hand and tell you that you're doing a great job. If you need constant affirmations from management, this company isn't for you.

3159
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