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4.3

based on 17 Reviews

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ArabEasy Machine Learning Scientist salaries in New Delhi

Annual salary range
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₹9.9 Lakhs - ₹12.7 Lakhs
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Last Updated: 25 Feb 2023

Machine Learning Scientist salary at ArabEasy ranges between ₹9.9 Lakhs to ₹12.7 Lakhs per year for employees with 3 years of experience. Salary estimates are based on 1 latest salaries received from various employees of ArabEasy.

Salary related reviews for ArabEasy

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 · 

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4.0
  •  posted on 24 Nov 2022
4.0
 for  Salary and Benefits

Likes

You can easily be vocal about your ideas and they will be heard and implemented to the best. Campus is really cool and the work culture is amazing. You have to freedom to work your own way as long as the work is being done.

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Dislikes

the location is a bit remote

Accounts And Finance Intern in Gurgaon / Gurugram

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 · 

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4.0
  •  posted on 17 Oct 2023
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 for  Salary and Benefits

Likes

Good environment, nice people, everything is good except the CEOs wife who intentionally put her nose in each and everything and make things worse.

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  • Job security - Bad
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Shifting from Bangalore to Hyderabad
I’m working in Bangalore for last 9 years. Currently I got 2 offers. 1. CTS - Bangalore (CTC - 22.7 LPA) 2. Deloitte - Hyderabad (CTC - 24.2 LPA) Is it good move to shift to Hyderabad for Deloitte ? Is it ok to ask the HR if my base location can be changed to Bangalore ? Please share your thoughts
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ArabEasy Machine Learning Scientist Salary FAQs

How the salary growth look like for a Machine Learning Scientist at ArabEasy in New Delhi?
The salary growth for a Machine Learning Scientist at ArabEasy in New Delhi depends on factors such as experience, performance, and promotions. On average, a Machine Learning Scientist in New Delhi can expect the following growth trajectory at ArabEasy:

Experience Average Salary Range
3 years ₹9.9 Lakhs to ₹12.7 Lakhs per year
and so on.

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ArabEasy Machine Learning Scientist salary in New Delhi ranges between ₹9.9 Lakhs to ₹12.7 Lakhs. This is an estimate based on latest salaries received from employees of ArabEasy.