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ICRA logo — ICRA ML Data Engineer Intern in Thiruvananthapuram, Kerala
ICRA VerifiedActively Hiring

ML Data Engineer Intern

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Location

Thiruvananthapuram, Kerala

Work Mode

Hybrid

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

ICRA is hiring a ML Data Engineer Intern in Thiruvananthapuram — 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 ICRA…

About ICRA

ICRA offers a mentor-led ML Data Engineer Intern in Thiruvananthapuram with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thiruvananthapuram, KeralaVerified employer5 openings
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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 Thiruvananthapuram. 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
22,000/month

Stipend · 3 months

Apply Now →
Openings5 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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