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Hello Nooglers, is it possible to internally switch at Google from TSE (AI/ML) to core ML domain? If yes, how and how much time a person would require to work at TSE position? I received interview call for TSE position so I was wondering if this could be a possibility or not.
Yoe: 5 years
Tech stack: Data science.
Hi Fishes, I cleared technical and MCQ round at Accenture. And got a mail stating i have been selected for HR round. Later the same day a hr called and asked me to upload all documents and asked my expected CTC and stuff. Earlier in portal it was showing interviewing , now it shows review or pending and has a message ' we regret to inform that you experience does not align with req, we will contact if anything comes up' , what does this mean. How can they put something like this?
Accenture
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Hi.. I am working in Amazon Advertising Team on Sponsored Brand Video process. I am outsourced vendor Funded employee at Grassroots. When there was a vacancy in Amazon India, for same process,and when i applied, they rejected my application as you are not fulfilling the requirement...i didn't understand. Post was Advertiser Support Associate, CS Sponsored Ads (ID: 2002684). Same work i am doing.. i have experience also.. then also they rejected application
In hand salary ... please help me out?

Need referal for Functional or Manual testing
*Hiring SDEs for Google* *Only Female*
Requirements:
1) Should be Female.
2) 2+ years of software engineering experience. No freshers or interns.
3) Proficient in either C++, Java or Python.
4) Proficient is Data Structures & Algorithms.
5) Bachelor’s degree.
If interested, please comment or dm. If you are a male, I am sorry but feel free to refer this post to any female SDEs you know.
PS: Only female because Google is not hiring any men for SDE roles as per internal memo from top leadership Google
I have few offers to decide the comparatively better option based on salary, wld, and security
JPMorgan Chase: 25 LPA FIXED
Dell (product enginnering) : 26 LPA FIXED
Publicis Sapient : 25 LPA FIXED
Morgan Stanley : 26 fixed
5.4 yoe,
Skillset: java, hibernate,spring,docker,kqfka
It will be very helpful if you can suggest with some reason.
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1. Quantify ur resume.
2. Apply atleast 50 to 60 jobs a day.
3. Try other appa like hirist, indeed, monster, indeed, apna jobs, not only naukri... If u have some pocket money take naukri premium
4. If career gap increases, go for masters, bcz again there is an opportunity for campus placement
I agree
DM if you are looking for guidance
yes i need guidance