
Synechron
AI / Machine Learning Intern
InternshipHybridGhaziabad, Uttar Pradesh3 months26K/mo3 openingsImmediate / Rolling
About this internship
Join Synechron in Ghaziabad 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…
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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 Ghaziabad, Uttar Pradesh
Perks & benefits
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & selection process
2 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
About Synechron
Synechron operates in the fintech consulting 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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