Amazon logo

Sr. AI ML Consultant

Amazon

Mumbai, Maharastra
Full-time
Experienced
149976 - 200000

Job Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Required Skills

knowledge of AI/ML Technology stack of AWSGenerative AI trends, patterns, anti-patternsStrong communication skills with the ability to explain technical conceptsPython and one additional language

Key Responsibilities

  • AWS solutions tailored to customer needs
  • technical guidance and troubleshooting support
  • Entoring, training, and creating reusable artifact
  • effective migration strategies
  • Effective migration strategies×

Job Information

Job TypeFull-time
ExperienceExperienced
Experience Range10+ years
Vacancies1
Work Location
Amazon Web Services India Private Limited 3.4(73) Corporate office 11th Floor, Godrej One , Mumbai(Maharastra)
Campus Recruitmentno
Monthly Salary₹149976 - ₹200000
Salary TypeFixed
Interview FormatIn-Person / Walk-In-Interview

Qualifications & Eligibility

Education Requirements

Graduate: B.Tech, B.Sc (IT/Computer Science)

Eligibility Criteria

English LevelFluent

About Amazon

Company Overview

Amazon.com, Inc. (doing business as Amazon) is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

Company Details

IndustryIT
Company Size1000+
LocationMumbai, Maharastra
Founded1994

Hiring Workflow

Know what to expect. Here is the typical process for this position.

Application

Submit your application to be considered for this role.

01

Virtual Interview

Face-to-face video interview with the hiring team.

Venue: Virtual — To be announced

02

Selection

Final evaluation and selection of qualified candidates.

03

Offer Release

Congratulations! Offer letter will be released to selected candidates.

04

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