Applied AI Engineer Intern

What You Will Do

Build, train, and tune ML models end to end: feature pipelines, training loops, evaluation, and deployment.

Own model performance on live products, from raw data to production.

Build enterprise grade solutions end to end: backend services, APIs, databases, and the systems that put models in front of customers.

Research deeply: read papers, benchmark approaches, dig into the domain, and turn findings into product decisions.

Work directly with the founders.

Small team, real ownership, no middle layer, no bureaucracy. You shape what gets built.

Learn from our advisors,

CXOs at some of India's biggest FMCG companies.

What We Are Looking For

Basic Qualifications

0 to 1 years of experience. Freshers are welcome.

Have built and trained ML models in Python with scikit-learn, pandas, and NumPy, through projects, internships, or coursework.

Have worked with regression, tree based models, ensembles, and clustering, and evaluated them properly with the right metric and validation scheme, without leakage.

Have built at least one working application end to end: backend, APIs, database, and deployed code.

Have used Git and SQL in real projects.

Use AI coding tools daily.

Claude Code, Codex, Cursor, or similar, and you can explain and debug every line you ship.

Self-starter.

You build from scratch, research deeply, and figure things out without waiting for a spec.

Preferred Qualifications

Have worked with PyTorch, TensorFlow, or Keras.

Have built with CNNs, NLP, and time-series forecasting.

Have deployed models with FastAPI or Flask, Docker, and AWS, GCP, or Azure.

Have built with LLMs, RAG, or agentic workflows.

Kaggle, open-source, published research, or a prior ML or software internship.

The Details

In-person

, Hi-Tech City, Hyderabad

Hours: 40 hours per week

NOTE:

This is an in-person role. The selected candidate is expected to work from our office in Hi-Tech City, Hyderabad. Only applications with a resume will be considered.