Computer Vision Architect/ Lead/ 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

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