Computer Vision

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)

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

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