Role: Computer Vision & Applied ML Intern
Location: Noida (On-site)

What You Will Gain

- Production-Grade CV: Learn to build, benchmark, and deploy detection and segmentation models that run on real camera feeds, not static datasets.
- Edge Deployment Training: Hands-on experience with ONNX, TensorRT, and model quantisation on edge GPUs.
- Modern Engineering Standards: Mentorship on writing asynchronous, typed Python, Dockerizing microservices, and setting up leak-free evaluation pipelines.
- Growth opportunities: Direct path to a full-time vision engineer role (PPO) based on internship performance.

What You Will Do

- Prepare, version, and quality-check annotation datasets (using CVAT) for training and evaluation splits.
- Train and evaluate detection, segmentation, and OCR models in PyTorch.
- Apply OpenCV techniques for image preprocessing, blur detection, and thresholding.




- Assist in benchmarking model latency, memory footprint, and throughput on edge hardware.
- Write unit-tested, typed Python code to pass frames through the inference pipeline.

Requirements

- Conceptual foundation in Machine Learning and Computer Vision (CNNs, detection metrics, loss functions).
- Working proficiency in Python and Git.
- Pursuing or completed B.E. / B.Tech in CS, ECE, EE, or related branch.
- Willingness to work in-office in Noida.

Pay: From ₹8,000.00 per month

Benefits:

- Flexible schedule
- Health insurance

Application Question(s):

- Do you have GitHub link with any academic, coursework, or personal ML/CV project ? If yes, Please share link here.

Work Location: In person

📌 Computer Vision Engineer Intern (India)
🏢 Cosmictech Builders Private
📍 India