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Computer Vision Engineer

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
  • Python Pytorch tensorflow
  • CV ML model development
  • Object recognition Detection
  • NVIDIA technologies
  • MLOps

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

Additional Responsibilities:


  • Good knowledge on software configuration management systems
  • Strong business acumen strategy and cross industry thought leadership
  • Awareness of latest technologies and Industry trends
  • Logical thinking and problem solving skills along with an ability to collaborate
  • Two or three industry domain knowledge
  • Understanding of the financial processes for various types of projects and the various pricing models available
  • Client Interfacing skills
  • Knowledge of SDLC and agile methodologies
  • Project and Team management

Preferred Skills:

Technology->AI-Data science->Computer Vision->Image Video processing,Technology->AI-Data science->PYTHON

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