- 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 solid 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-Data science->Computer Vision,Technology->AI-AI Engineering->MLOps->mlflow,Technology->AI-AI Engineering->AI/ML Solution Architecture and Design,Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Computer Vision with Azure