L2-Cloud Analytics & ML

Bajaj Auto • Automotive Manufacturing • Leasing, Auto & Equipment Finance • Power BI • 7 days ago
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Location
In office (India)

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 11, 2026.

Overview
Company
Impact
Profile match

Bajaj Auto

Headquartered in Pune, India, Bajaj Auto is a prominent multinational automotive manufacturing company and the flagship enterprise of the Bajaj Group. It specializes in the production of two- and three-wheelers, designing and manufacturing a diverse portfolio of motorcycles, scooters, electric mobility solutions, and commercial auto-rickshaws. Recognized as the world’s largest manufacturer of three-wheelers and a leading motorcycle exporter, the company distributes its vehicles to dozens of countries across Latin America, Africa, and Asia.
bajajauto.com • HQ: Pune, India • Manufacturing • Financial Services • Leasing, Auto & Equipment Finance • Automotive Manufacturing • Est. 2012
Tech stack of Bajaj Auto

Division

R&D

Department

T&V

Level

L2

Functional Area

EV Testing

1

Job Title

Cloud Analytics & ML

2

Reporting

Functional reporting toVP, R&D

3

Background

i) Educational Qualification

Essential:B.E/ B Tech in Mechanical / Electrical /Electronics / Computer Applications

ii) Experience

Minimum:8

Maximum:15

iii) Age Limit

Minimum:25

Maximum:35

4

Job Role & Responsibilities

Role: Cloud Analytics & ML - Group Leader

Technical/ Functional:

  • Responsible for vehicle analytics and fleet analytics of BAL products (EV and IC Engine configs)
  • Responsible for creating back end processes to analyse vehicle data through cloud computing
  • Responsible for creating and managing dashboards to visualise analytics data. Dashboards are built in AWS or Power Bi platforms
  • Responsible for mentoring and guiding a team of highly motivated individuals to achieve the functional targets.

5

Competency Requirements

Specific expertise required for functional area:

  • Good understanding of analytics and ML concepts
  • Good understanding of electric vehicle architectures
  • Good understanding of basic concepts in electrical and electronics
  • Expertise in various cloud computing platforms like AWS, Azure etc

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