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AI/ML Engineer

AI/ML Engineer Intern - 2025/2026/2027 Batch

Role Overview

We're hiring AI/ML Engineer Interns from the 2025/2026/2027 graduating batch to work on model development, experimentation, and deployment into production or embedded systems. You'll get hands-on exposure across the ML lifecycle - from data pipelines to optimized C++ deployment - under the mentorship of senior engineers.

Eligibility

  • Pursuing a Bachelor's/Master's degree (CS, ECE, Data Science, or related), graduating in 2025, 2026 or 2027
  • Available for a 6-month internship, with the start date confirmed during the interview process
  • Open to both PPO-track interns (pre-placement offer potential) and short-term interns, depending on your program structure

Responsibilities

  • Build, train, and evaluate ML/DL models (classification, detection, recognition tasks)
  • Write clean, efficient Python for preprocessing, experimentation, and prototyping
  • Assist in porting trained models to C++ for performance-critical or embedded deployment
  • Support data pipeline development and model evaluation scripts
  • Profile and debug model performance (latency, memory, accuracy)
  • Document experiments and collaborate with backend/embedded teams on integration

Required Skills

  • Strong fundamentals in Python (NumPy, Pandas, PyTorch/TensorFlow)
  • Working knowledge of C++ (STL, basic memory management)
  • Understanding of core ML concepts: neural networks, CNNs, evaluation metrics
  • Git and Linux command-line familiarity
  • Strong problem-solving mindset, eager to learn deployment workflows

Nice to Have

  • Computer vision experience (OpenCV, face/object recognition)
  • Exposure to embedded/edge AI (Jetson, Raspberry Pi, i.MX-class SoCs)
  • Familiarity with ONNX/TensorRT or model optimization/quantization
  • Python-C++ interop experience (pybind11, ctypes)
  • Personal projects, Kaggle competitions, or research publications

What You'll Gain

  • End-to-end ML lifecycle exposure - data to deployment
  • Real-world performance-constrained/embedded systems experience
  • Mentorship from senior AI/ML and systems engineers
PythonC++Machine LearningComputer Vision

Quick Facts

Batch
2025, 2026 or 2027
Duration
6 months
Start Date
Flexible - to be finalized during the interview process
Track
Open to both PPO-track and short-term interns, depending on program structure
Work Mode
Work From Office - New Delhi
Stipend
Competitive stipend, discussed during the interview process
PPO Possibility
Strong performers may receive a Pre-Placement Offer (PPO) for a full-time role
Apply Now