- 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
- 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
- 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
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