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Optum

Machine Learning Intern

InternshipHybridGhaziabad, Uttar Pradesh3 months39K/mo2 openingsImmediate / Rolling

About this internship

Optum is hiring a Machine Learning Intern in Ghaziabad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied machine learning rather than a certificate-only programme. About the role As a Machine Learning Intern at Optum, your core focus will be…

Skills you'll use

PythonMachine LearningScikit-learnTensorFlowPyTorchFeature EngineeringModel EvaluationPandasNumPyMLOps Basics

What you'll do

  • Work on training, tuning and validating ML models on production data alongside the core team
  • Apply Python, Machine Learning, Scikit-learn, TensorFlow to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech/M.Tech/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
  • Working knowledge of Python, Machine Learning, Scikit-learn (or a genuine willingness to learn them)
  • Strong fundamentals in your discipline and clear problem-solving ability
  • Care with detail and the discipline to document your work
  • Clear written and verbal communication in English
  • Based in or willing to work from Ghaziabad, Uttar Pradesh

Perks & benefits

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

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects

About Optum

Optum operates in the healthcare technology sector and has an active presence in Ghaziabad. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…
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