Visa Machine Learning Engineer salaries in India (Updated 2025)

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Above average salary. Free cab. Macbook at work Here's FY25 salaries: NCG/SW Engineer: 30 LPA Mid-Level/Sr SW Engineer: 45LPA Staff SW Engineer: 50-60 LPA Sr Consultant: 60-70LPA Sr Staff/Lead: 1 Cr LPA

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Aggressive work tracking using code commits, jira epics done etc. Night calls regularly. Lack of team spirit. Everyone is working individually. Quality of crowd has gone down drastically. Those joined in 2023 or later are workaholic. Increments are low < 10% starting 2024.

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Bonus Compensations are good and they provide other facilities like free cab and good food to their employees

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Company work life balance is pathetic they have very old legacy system you will not get any hands on experience to work on new technologies

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Good pay Free office cab

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No job security. You can be fired any day on spot. Micro management from top to down Bad quality work. All projects in Bangalore are maintenance projects. Stay away from this company. They attract employees with high packages and then destroy their career.

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Good teammates

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Meaningless cost cutting and layoffs - even competent, hard working people are getting laid off even when the company is hiring resources with similar skills in parallel. Too much office politics and favoritism

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...d Benefits: Visa's compensation and benefits package is definitely a highlight. The salary is competitive, and the health insurance, retirement plans, and time off are generous. This is a major plus, especially compared to some of my previous employers. * Cutting-Edge Technology: Visa is invested in staying ahead of the curve in terms of technology. I've had the opportunity to work with some of the latest tools and platforms, which has been great for my professional development. * Global Scale: The sheer scale of Visa's operations is impressive. Working on projects that impact millions of people around the world is definitely something unique to this company.

Dislikes

* Steep Learning Curve: Coming from a different company culture, I found the initial onboarding and learning curve at Visa to be quite steep. There's a lot of internal jargon and processes to get your head around. * Siloed Teams: Despite the interconnected nature of the work, I've noticed a tendency for teams to operate in silos. This can sometimes hinder collaboration and create communication challenges. * Fast-Paced Environment: While the dynamic environment can be exciting, it can also be quite demanding. There's a constant pressure to deliver results quickly, which can sometimes lead to long hours.