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Hirex.ai

AI/ML Intern

InternshipHybridIndore, Madhya Pradesh6 months22K/mo4 openingsImmediate / Rolling
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About this internship

Hirex.ai has an open AI/ML Intern role in Indore for driven freshers and final-year students. You will work on real, production-facing projects and learn the exact skills and workflows top tech teams look for. As a AI/ML Intern, you will work closely with senior engineers and the product team…

Skills you'll use

PythonMachine LearningDeep LearningTensorFlowPyTorchNLP

What you'll do

  • Build, test and ship real features using Python, Machine Learning, Deep Learning, TensorFlow
  • Write clean, maintainable code and participate in code reviews
  • Work on building and training machine-learning models on real data
  • Debug issues and improve performance and reliability
  • Collaborate with engineers, designers and product on live projects

Who can apply

  • Pursuing or recently completed B.E./B.Tech/BCA/MCA/B.Sc (CS/IT) or a related discipline — 2026 freshers & final-year students welcome
  • Working knowledge of Python, Machine Learning, Deep Learning (or a strong willingness to learn them)
  • Solid programming fundamentals and problem-solving ability
  • Eagerness to learn, take feedback and collaborate in a team
  • Based in or willing to work from Indore

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from senior engineersReal-world project experienceHands-on with a modern tech stack

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical discussion with the engineering hiring manager
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer

About Hirex.ai

Hirex.ai is a hr tech / ai company with a strong engineering culture and a growing presence in Indore. The team believes the best way to grow is by building, which is why interns here get real ownership of code and projects from day one rather than being kept on the sidelines. Interns collaborate…
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