Computer Vision

Responsibilities

Develop and implement computer vision algorithms for image and video analysis

Build, train, and optimize deep learning models (CNNs, transformers, etc.)

Work on use cases like object detection, classification, segmentation, tracking, and OCR

Perform data preprocessing, annotation, and augmentation

Optimize models for performance, scalability, and real-time inference

Integrate models into production systems (APIs, pipelines, edge devices)

Collaborate with cross-functional teams (data engineers, backend developers, product teams)

Stay updated with the latest advancements in AI/ML and computer vision

Required Skills

Strong programming skills in Python

Hands-on experience with OpenCV, NumPy, SciPy

Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)

Solid understanding of computer vision techniques

Experience with object detection frameworks (YOLO, Faster R-CNN, SSD, etc.)

Knowledge of image processing and video analytics

Experience with model deployment (Flask, FastAPI, Docker, Kubernetes)

Familiarity with GPU acceleration (CUDA) is a plus

Exposure to cloud platforms (AWS, Azure, GCP)

Technical requirements

Primary skills:Technology->Artificial Intelligence->Computer Vision

Additional responsibilities

Experience with transformer-based vision models (ViT, DETR)

Knowledge of MLOps pipelines and CI/CD for ML

Experience with edge AI / embedded systems

Background in mathematics, statistics, or related field

Education

MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech