Quantiphi Analytics Solutions Private Limited Machine Learning Engineer salaries in Mumbai (Updated 2025)

Likes

If u get a good ML project u can learn a lot as an MLE as most people abv smle don't code much, so u can learn an entire project from POC to production and a lot of new techs to learn, fast-paced learning curve (2-3 years), if u are abv smle then most work is to talk to clients and manage people so more free time. But if want to learn u can team up with r&d or take at ur interest and can excel also.

Dislikes

ML services to standard TCS type, lot of non ML projects, pay far less to industry pay, poor quality of hiring esp from late 2021, tech architects managing ML projects who don't know ML, mass hiring like TCS from 2021, attrition is over the roof, avg stay

Likes

The good thing is if you are clever you can be the king of blind people here.

Dislikes

...outings, Rs 750 per person per quarter ! you can't even get a pitcher in Rs 750. Lower salary than the market.

Likes

As there are different roles for different works so there will not be much load like there are data engineer to handle data, platform engineer will handle cloud related things so a ML Engg. will perform his own work. Transparent system. No Sir , Ma'am culture. Good work life balance. U will do certification to upskill. Flexible work hour. Flexible in wfh, hybrid, wfo.

Dislikes

Less salary. U have to do certifications.

Likes

+ Great Learning opportunity - a lots of cutting edge use cases on multiple ML domain. + Great colleagues - very helpful and it helps when you are sorrounded by so many intelligent people. + Great work culture + Great location

Dislikes

... more than 12 hrs a day for more than a year) - Leave policies could be better - Every Yearly bonus comes with a claus of retention for next 1 year which is pathetic.