Machine Learning Intern

About this internship

Not quite right? These internships in Bengaluru, Karnataka match the same skills — apply to a few to improve your chances.

AI / Machine Learning Intern

Zed Learn

RemoteBengaluru, Karnataka24K/mo

Apply

Product Analyst Intern

LatentView Analytics

In OfficeBengaluru, Karnataka18K/mo

Apply

Full Stack Web Developer Intern

Jupiter

In OfficeBengaluru, Karnataka22K/mo

Apply

Digital Marketing Intern

DeHaat

HybridBengaluru, Karnataka

Apply

Skills you'll use

What you'll do

• Prototype, train and fine-tune machine-learning and deep-learning models
• Build data pipelines for training, evaluation and inference
• Benchmark models on accuracy, latency and cost, and iterate on the trade-offs
• Work with engineers to deploy, monitor and retrain models in production
• Run error analysis to find where models fail and why
• Research recent papers, tools and techniques and test what is applicable
• Write reusable, well-documented training and evaluation code
• Present experiment results and recommendations to the team

Who can apply

• Pursuing or recently completed B.E./B.Tech/M.Tech/M.Sc in CS, AI, Data Science, Mathematics or a related field
• Graduation year 2025, 2026 or 2027 — final-year students and freshers are welcome
• Strong Python and hands-on experience with NumPy, pandas and scikit-learn
• Working knowledge of deep-learning frameworks — PyTorch or TensorFlow
• Understanding of ML fundamentals: loss functions, optimisation, regularisation, evaluation metrics
• Exposure to at least one of NLP, computer vision, LLMs or recommendation systems
• Comfort with Git, Linux basics and working in notebooks and scripts
• Good linear algebra, probability and statistics foundations
• Bonus: Docker, cloud (AWS/GCP/Azure), vector databases or MLOps tooling
• Curiosity, rigour and the patience to debug models that quietly do the wrong thing

Perks & benefits

Interview & selection process

6 rounds — typical selection flow for this role:

1. 1Resume & profile screening
2. 2Online assessment — Python, ML and maths
3. 3Technical interview — ML depth and projects
4. 4Applied/coding round — implement or debug a model
5. 5HR discussion & culture fit
6. 6Offer letter

About Glance

Searching for “Glance internships” or “internship at Glance”? You’re in the right place.