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The Souled Store logo — The Souled Store ML Data Engineer Intern in Coimbatore, Tamil Nadu
The Souled Store VerifiedActively Hiring

ML Data Engineer Intern

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Location

Coimbatore, Tamil Nadu

Work Mode

Hybrid

Duration

2 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹17,000/moApply on Company Website ↗

About the Internship

Join The Souled Store in Coimbatore as a ML Data Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data engineering for machine learning work. About the role As a ML Data Engineer Intern at…

About The Souled Store

The Souled Store offers a mentor-led ML Data Engineer Intern in Coimbatore with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
Coimbatore, Tamil NaduVerified employer15 openings
Apply to The Souled Store

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 Coimbatore. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 2 months

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Openings15 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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