Computer Vision Engineer

Infosys Limited; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Infosys Limited in Bangalore is seeking a Computer Vision Engineer to design, train, and optimize deep learning models for computer vision tasks and video analytics across 100+ real-time streams.

The role requires hands-on experience with TensorFlow/PyTorch/ONNX, NLP? (not applicable), and deployment pipelines with NVIDIA TAO Toolkit, DeepStream, and Triton Server, plus strong SQL/NoSQL skills and cloud/infra tooling.

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).
• Develop models for feature extraction and 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

Job description

BANGALORE, Infosys Limited Computer Vision Engineer

Job ID/Reference Code INFSYS-INDEED1-253391

Work Experience 5 - 9 Years

Job Title Computer Vision Engineer

Educational Requirements

Master Of Comp. Applications,Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology

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.

Additional Responsibilities

• 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

Preferred Skills

Technology->AI-Data science->Data Science - Basic Technology->AI-Generative AI->Artificial Intelligence - BASIC Technology->AI-Data science->Computer Vision

Generic Skills

Technology->OpenSystem->Python - OpenSystem->Python