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Nasdaq logo — Nasdaq ML Data Engineer Intern in Mohali, Punjab
Nasdaq VerifiedActively Hiring

ML Data Engineer Intern

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Location

Mohali, Punjab

Work Mode

In Office

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Nasdaq has an open ML Data Engineer Intern position in Mohali for motivated freshers and final-year students. You will work on live data engineering for machine learning projects and finish with something you can genuinely talk about in interviews. About the role As a ML Data Engineer Intern at…

About Nasdaq

Nasdaq offers a mentor-led ML Data Engineer Intern in Mohali with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mohali, PunjabVerified employer6 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 Mohali. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

4 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. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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