Computer Vision Architect/ Lead

Job Description:

• We are seeking a highly skilled Computer Vision Engineer with hands on experience in developing and deploying deep learning models for real time image and video analytics
• The ideal candidate will have a strong background in computer vision deep learning frameworks and edge deployment technologies
• Computer Vision Specialists with hands on experience in
• Python PyTorch TensorFlow
• CV ML DL model development
• Object detection recognition Action recognition
• NVIDIA technologies
• MLOps Edge deployment

Key Responsibilities:

• Design train and optimize deep learning models for computer vision tasks such as object detection image recognition segmentation and video analytics
• Lead large scale real time implementations involving 100 video streams
• Fine tune models like CNNs and Vision Transformers using frameworks such as TensorFlow PyTorch and ONNX
• Build and deploy inference pipelines using NVIDIA technologies including NGC models TAO Toolkit DeepStream Metropolis and Triton Server
• Apply pre and post processing techniques to enhance model performance and evaluation
• Develop and implement multi object tracking algorithms across multiple camera feeds
• Perform camera calibration and extract regions of interest ROI action recognition using temporal analysis techniques
• Develop models for feature extraction and come up with strategies for latent space analysis and manipulation of the data
• Proficiency in writing complex SQL queries familiarity with NoSQL or Graph Databases Neo4j is an advantage
• Knowledge of infrastructure as code tools e
• g
• Terraform Ansible is an advantage
• Proficiency with containerization technologies Docker and orchestration tools Kubernetes is an advantage

Preferred Skills:

Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Computer Vision with Azure,Technology->AI-Data science->Computer Vision->Object detection and Recognition,Technology->AI-Generative AI->Image Video processing,Technology->OpenSystem->Python - OpenSystem->Python