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Worldline India logo — Worldline India AI / Machine Learning Intern in Thane, Maharashtra
Worldline India VerifiedActively Hiring

AI / Machine Learning Intern

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Location

Thane, Maharashtra

Work Mode

Hybrid

Duration

6 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

AI & Machine Learning

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About the Internship

Join Worldline India in Thane as an AI / Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on applied AI and machine learning work. About the role As an AI / Machine Learning Intern at…

About Worldline India

Worldline India offers a mentor-led AI / Machine Learning Intern in Thane with live project work in ai & machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thane, MaharashtraVerified employer4 openings
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Skills Required

PythonMachine LearningDeep LearningPyTorch / TensorFlowScikit-learnPandasFeature EngineeringModel EvaluationSQLMLOps Basics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Tech/MCA/M.Sc (CS, Statistics, Maths) who are based in or willing to work from Thane. You should be keen to learn Python, Machine Learning, Deep Learning 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

4 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. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryAI & Machine Learning
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