AI/ML Intern

Role Overview

Fairdeal.market runs B2B quick-commerce out of dark-store warehouses across Delhi NCR, and our AI/ML systems sit directly in the operational path logistics, computer vision, and agentic tooling that run live every day. We're looking for an intern who owns end-to-end problems: framing them, building the model, evaluating it honestly, and shipping it to production.

Responsibilities

• Designing multi-agent and tool-using workflows including planning, state management, and controlled tool invocation.
• Building and iterating on models using scikit-learn, XGBoost, PyTorch, or Hugging Face Transformers.
• Designing evaluation harnesses for ML and LLM/RAG evals using RAGAS, DeepEval, or LangSmith.
• Serving models as production services using FastAPI, Docker, and AWS.
• Implementing CI/CD with GitHub Actions and managing model versioning with MLflow or DVC.

Requirements

• Strong Python skills and a working command of ML theory.
• Applied experience with pandas, NumPy, scikit-learn, and deep-learning frameworks like PyTorch or TensorFlow.
• Comfort with LLMs, RAG architectures, and prompt engineering.
• Fluency with data pipelines and querying using MongoDB or SQL.
• Experience with orchestration frameworks such as LangGraph or LangChain.
• Pursuing or recently completed a degree in CS, IT, Data Science, or a related field.

Skills

• Python
• PyTorch
• scikit-learn
• AWS
• FastAPI

Nice to Have

• Computer vision with OpenCV, object detection, or segmentation.
• Kubernetes or broader cloud infrastructure exposure.
• A production system you've shipped and owned.