Computer Vision Architect

Infosys Limited; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Infosys Limited in Bengaluru seeks a Computer Vision Architect with 9–17 years of experience to design and deploy advanced CV models for large-scale video analytics. You will lead real-time processing across 100+ streams, fine-tune contemporary architectures, and build robust inference pipelines using NVIDIA tools.

The role requires strong expertise in CNNs/Vision Transformers, TensorFlow or PyTorch, and experience with Docker/Kubernetes, SQL, and NoSQL.

Qualifications

• 9–17 years of experience in computer vision and related areas.
• Strong expertise in deep learning for CV and real-time video analytics.
• Proficiency with CNNs, Vision Transformers, and related frameworks.
• Experience deploying large-scale inference systems.
• Bachelor's or master's degree in engineering or related field.

Responsibilities

• Design, train, and optimize deep learning models for computer vision tasks.
• Lead real-time multi-stream video processing at scale.
• Fine-tune CNNs and Vision Transformers with TensorFlow, PyTorch, and ONNX.
• Build and deploy inference pipelines with NVIDIA tools (NGC, TAO, DeepStream, Triton).
• Apply pre- and post-processing to improve model performance.
• Develop multi-object tracking across camera feeds and perform ROI extraction.
• Explore latent space analysis and feature extraction strategies.
• Write SQL queries; familiarity with NoSQL/Neo4j is a plus.
• Knowledge of IaC tools like Terraform/Ansible is advantageous.
• Containerization with Docker and orchestration with Kubernetes is advantageous.

Skills

Python

Computer Vision

Generative AI

Education

Master of Engineering

Master of Technology

MCA

MSc

Bachelor of Engineering

Bachelor of Technology

BCA

BSc

Tools

TensorFlow

PyTorch

ONNX

NVIDIA NGC

TAO Toolkit

DeepStream

Triton

Docker

Kubernetes

SQL

Job description

Work Experience 9 - 17 Years

Job Title Computer Vision Architect

Educational Requirements Master Of Engineering,Master Of Technology,MCA,MSc,Bachelor of Engineering,Bachelor Of Technology,BCA,BSc

Service Line Engineering Services

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->PYTHON
• Technology->AI-Data science->Computer Vision
• Technology->AI-Generative AI->Generative AI - Basic