Computer Vision Engineer

Infosys; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Infosys is looking for a skilled professional to design and optimize deep learning models for computer vision tasks. The ideal candidate will lead large-scale implementations, particularly involving real-time video streams. Proficiency in frameworks like TensorFlow and PyTorch, alongside strong SQL skills, is essential. This role provides an opportunity to work with cutting-edge technologies in a fast-paced environment in Bengaluru, Karnataka.

Qualifications

• Expertise in optimizing deep learning models for computer vision tasks.
• Master's or Bachelor's degree in Computer Applications or Engineering is preferred.
• Strong knowledge of machine learning and data science.

Responsibilities

• Design and optimize deep learning models for object detection and image recognition.
• Lead implementations involving multiple video streams.
• Build and deploy inference pipelines using NVIDIA technologies.

Skills

Deep learning models optimization

Image recognition

SQL queries

Containerization technologies (Docker)

Knowledge of SDLC and agile methodologies

Industry domain knowledge

Client interfacing skills

Education

Master Of Comp. Applications

Master Of Engineering

Bachelor Of Science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Terraform

Job description

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 - Machine learning - data science
• Technology - Artificial Intelligence - Artificial Intelligence - ALL
• Technology - data science - Computer Vision

Generic Skills

• Technology - OpenSystem - Python - OpenSystem - Python