Role: Computer Vision & Applied ML Intern
Location: Noida (In office)

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.
Up-to-date Engineering Standards: Mentorship on writing asynchronous, typed Python, Dockerizing microservices, and setting up leak-free evaluation pipelines.
Career Growth: 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:
Adaptable 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 Noida
🏢 Cosmictech Builders Private
📍 Noida