Computer Vision Professional

Roles ResponsibilitiesDevelop 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 Requirement

Primary skills:Technology->Artificial Intelligence->Computer Vision
Additional ResponsibilityExperience 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
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Preferred SkillsTechnology->AI-Data science->Computer Vision
Service LineData Analytics Unit