Walmart Machine Learning Engineer salaries in Bangalore / Bengaluru

Likes

Although it varies from team to team, in general there is work life balance, and the work culture is good. The usual standard facilities like food at the office, and cab services are available. The additional benefits like mobile phone reimbursement, fitness reimbursement are okay as well. There is a general sense of belonging to the company due to the satisfactory culture.

Dislikes

Promotions after IN3/4 are usually slow. Compared to other Tier 1 tech companies, the compensation is generally a bit lesser. The primary goal isn't Engineering Excellence but tech is more of a retail-enabler.

Likes

Nothing

Dislikes

...fe balance. - Product Team in US so your expected to attend meetings late night. - No team outings in name of cost cutting , when asked to Managers they say atleasts you will have your job.

Likes

Nothing good with this company

Dislikes

...omplaining against manager to HR and higher management, no action will be taken. Instead they will give you worst rating, 0% hike 0%bonus. And also in some cases they will try to put you on PIP then fire you. So don’t join this company. Also if your manager name to be Pradeep Gupta or your project going to be OMS, never join. He will make your life hell.

Likes

None

Dislikes

Lots of politics, compensation mediocre. They focus less on career growth and more on making noise. So it doesn't matter what one did, only perception. Walmart is not a tech company but driven by their business goals, so innovation is years behind peers and worst part about them is their internal tools which we are forced to use under the name of security. The cherry on top is the worst in class documentation of said tools. If one can handle demeaning, micromanagement, it does have great work life balance., but that would again depend on manager. Dont join if you have other options.

Likes

Perks, salary and brand value

Dislikes

No innovation. Work in India is mostly to serve store clients in us. Pathetic way of gathering requirements and then delivering to production without taking into account wheather someone will be using it or not