INInfosys Limited
Computer Vision Architect/ Lead
Bangalore Posted 3 Oct 2026
FULL TIME
object detection
Docker
Ansible
Deep Learning
Kubernetes
+11 more
Job Description
Job Overview:
- We are on the lookout for a proficient Computer Vision Engineer with hands-on expertise in developing and implementing deep learning models for real-time image and video analytics.
- The perfect applicant will possess a robust foundation in computer vision, along with deep learning frameworks and technologies for edge deployment.
- Computer Vision Engineers with practical experience in:
- Python, PyTorch, TensorFlow
- CV ML DL model creation
- Object detection and recognition, Action recognition
- NVIDIA technologies
- MLOps and Edge deployment
Primary Duties:
- Design, train, and refine deep learning models for computer vision applications such as object detection, image recognition, segmentation, and video analytics.
- Oversee large-scale real-time implementations involving up to 100 video streams.
- Optimize models like CNNs and Vision Transformers utilizing frameworks such as TensorFlow, PyTorch, and ONNX.
- Create and deploy inference pipelines using NVIDIA technologies, including NGC models, TAO Toolkit, DeepStream, Metropolis, and Triton Server.
- Implement pre and post-processing techniques to improve model performance and evaluation.
- Develop and execute multi-object tracking algorithms across various camera feeds.
- Conduct camera calibration and extract regions of interest (ROI), along with action recognition through temporal analysis methods.
- Formulate models for feature extraction and devise strategies for latent space analysis and data manipulation.
- Expertise in crafting complex SQL queries; familiarity with NoSQL or Graph Databases, such as Neo4j, is a plus.
- Understanding of infrastructure as code tools, such as Terraform and Ansible, is beneficial.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes is an asset.
