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Bain & Company logo — Bain & Company ML Data Engineer Intern in Bengaluru, Karnataka
Bain & Company VerifiedActively Hiring

ML Data Engineer Intern

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Location

Bengaluru, Karnataka

Work Mode

In Office

Duration

4 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Bain & Company is hiring a ML Data Engineer Intern in Bengaluru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data engineering for machine learning rather than a certificate-only programme. About the role As a ML Data Engineer Intern at Bain &…

About Bain & Company

Bain & Company offers a mentor-led ML Data Engineer Intern in Bengaluru with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
Bengaluru, KarnatakaVerified employer6 openings
Apply to Bain & Company

Skills Required

PythonSQLETL / ELT PipelinesApache Spark BasicsFeature StoresAirflowData ValidationCloud StorageData VersioningPandas & NumPy

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Bengaluru. You should be keen to learn Python, SQL, ETL / ELT Pipelines on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 4 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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