Computer Vision Engineer Intern

As a

Computer Vision Software Intern

, you will work on developing and deploying computer vision solutions for

robotic automation and real-world industrial applications

. You will collaborate with AI, robotics, and software teams to build perception pipelines, automate video data workflows, train and fine-tune deep learning models, and contribute to integrating vision systems into real-time production environments.

Key Responsibilities

Research, prototype, and implement computer vision algorithms for

defect detection, pose estimation, object detection, and 3D perception

.

Develop automated and scalable

video annotation and data-processing pipelines

for dataset creation and model training.

Train, evaluate, and fine-tune deep learning models using

PyTorch or TensorFlow

, including open-weight vision models.

Work with image and video data using

OpenCV

and other computer vision libraries.

Build intuitive

GUIs and dashboards

using PyQt, Tkinter, React, or similar technologies.

Collaborate with robotics and software engineers to integrate and deploy models on

edge devices such as NVIDIA Jetson

.

Experiment with model optimization and deployment technologies such as

ONNX, TensorRT, or OpenVINO

.

Document experiments, evaluate results, write clean and modular code, and communicate findings to the team.

Qualifications

Final-year student or recent graduate in

Computer Science, Electrical Engineering, Electronics & Communication Engineering (ECE), or a related field

.

Strong foundation in

Computer Vision, Linear Algebra, Probability, and Deep Learning

.

Proficiency in

Python

with hands-on experience in

PyTorch and/or TensorFlow

.

Practical experience with

OpenCV

and

image/video processing

.

Understanding of

transfer learning, model evaluation, and fine-tuning

of deep learning models.

Familiarity with

3D Computer Vision

and libraries such as

Open3D or scikit-image

is a plus.

Exposure to