Eightfold
AI / Machine Learning Intern
InternshipIn OfficeDelhi, Delhi3 months24K/mo3 openingsImmediate / Rolling
About this internship
Eightfold is hiring an AI / Machine Learning Intern in Delhi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied AI and machine learning rather than a certificate-only programme.
About the role
As an AI / Machine Learning Intern at Eightfold…
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Skills you'll use
PythonMachine LearningDeep LearningPyTorch / TensorFlowScikit-learnPandasFeature EngineeringModel EvaluationSQLMLOps Basics
What you'll do
- Work on training, evaluating and deploying models alongside the core team
- Apply Python, Machine Learning, Deep Learning, PyTorch / 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/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
- Working knowledge of Python, Machine Learning, Deep Learning (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 Delhi, Delhi
Perks & benefits
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:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3HR discussion — stipend, start date, expectations and offer
About Eightfold
Eightfold operates in the enterprise saas / ai talent intelligence sector and has an active presence in Delhi. 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…
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