Computer Vision Engineer, Infosys

Data Analyst, Python
Karnataka, India, Bengaluru
October 12, 2026
Full Time

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Job Description

Infosys is recruiting a computer vision engineer in Bangalore for candidates having experience in the range of 2-5 years in AI and engineering solutions. The job requires an engineer to be responsible for designing, training, and optimizing deep learning models that perform object detection, image recognition, segmentation, and video analytics tasks. Duties include developing real-time solutions from various video streams and optimizing CNN and Vision Transformer models. The job requires developing an inference pipeline, multi-object tracking, camera calibration, and region-of-interest analysis.

Location: Bangalore, Karnataka, India 

Experience: 2–5 years 

Qualification: Bachelor’s or master’s degree in engineering, technology, computer applications, science, or a related field.

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Responsibilities

  • Develop deep learning models for object detection, image recognition, segmentation, and video analysis use cases.
  • Participate in the implementation of real-time large-scale projects that include more than 100 video streams, as well as optimization and evaluation of models.
  • CNN and Vision Transformer architectures for computer vision should be optimized using TensorFlow, PyTorch, and ONNX.
  • Inference pipelines should be created by utilizing the NVIDIA products such as NGC models, TAO toolkit, DeepStream metropolis, and Triton server.
  • Perform multi-object tracking, camera calibration, ROI extraction, and action recognition using multiple video sources at the same time.

Qualifications

  • Bachelor’s or master’s degree in engineering, technology, computer applications, science, or any related field.
  • 2-5 years of experience in computer vision, artificial intelligence, or any technical area.
  • Knowledge in a programming language, preferably the Python programming language.
  • Knowledge in deep learning software such as TensorFlow and PyTorch.
  • Knowledge in computer vision, image and video processing, or any other AI technology.

Preferred Qualifications

  • Hands-on experience in NVIDIA NGC models, TAO toolkit, DeepStream Metropolis, and Triton server for building inferencing pipelines in production.
  • Knowledge of SQL, as well as practical exposure to work with NoSQL and graph databases (Neo4j) for data management in large-scale applications.
  • Understanding of any infrastructure as a code tool (Terraform/Ansible) for designing a scalable technological architecture.
  • Practical exposure to deployment of AI applications using Docker and Kubernetes.
  • Knowledge of software configuration management, agile practices, coordination of projects, and technology needs of industries.

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