
Machine Learning Intern
About this internship
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Skills you'll use
What you'll do
- Prototype and train ML/DL models
- Preprocess datasets and engineer features
- Evaluate models and tune hyperparameters
- Document experiments and results
- Collaborate with the team, document your work and act on feedback
Who can apply
- Pursuing or recently completed a relevant degree/diploma (role-dependent, any stream where applicable)
- Foundational knowledge of Python, Machine Learning, TensorFlow, PyTorch
- Good communication skills and a genuine willingness to learn
- Based in or open to working from Kanpur, Uttar Pradesh (or remote where applicable)
- A portfolio, project or coursework you can show (a plus, not mandatory)
Perks & benefits
Interview & selection process
4 rounds — typical selection flow for this role:
- 1Application Screening — the Tiger Analytics recruitment team reviews your resume, skills and (where relevant) projects/portfolio for fit with the Machine Learning Intern internship in Kanpur.
- 2Online Assessment — a timed test covering fundamentals, problem solving and basic Python/Machine Learning/TensorFlow questions.
- 3Technical / Functional Interview — a discussion of your skills, past work and a hands-on round relevant to Machine Learning Intern.
- 4Second Interview — a deeper discussion with the team lead / hiring manager on real scenarios and problem solving.
- 5HR Discussion — a conversation about your goals, availability, expectations and the offer with Tiger Analytics.
About Tiger Analytics
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