- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- منذ 6 ساعات
- Work mode
- In office
- Education
- B.Tech or B.E. in any specialization, B.C.A., B.Sc. in any specialization
- Eligibility
- Candidates with a B.Tech or B.E. degree in any specialization, B.C.A., or B.Sc. in any discipline are eligible to apply.
- Resume
- Required to apply
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Job description
About the Company
Infosys is a global leader specializing in next-generation digital services and consulting, supporting clients across 46 nations through their digital transformation journeys. Leveraging more than 30 years of expertise in managing enterprise systems worldwide, Infosys drives change by empowering organizations with AI-centric cores and scalable agile digital capabilities that enhance performance and customer satisfaction. Their ongoing commitment to learning fuels continuous improvement by building and sharing digital skills, expertise, and innovative ideas.
Role Overview
We are currently looking for a proficient Computer Vision Engineer who has substantial experience building and deploying deep learning models focused on real-time image and video analysis. This role requires solid expertise in computer vision, deep learning frameworks, and edge device deployment technologies.
Key Responsibilities
- Design, develop, train, and fine-tune deep learning models for diverse computer vision tasks including object detection, image recognition, segmentation, and video analytics.
- Lead and manage large-scale real-time video streaming projects involving over 100 video feeds.
- Utilize and optimize CNNs and Vision Transformer models using TensorFlow, PyTorch, and ONNX frameworks.
- Create and deploy inference pipelines leveraging NVIDIA technologies such as NGC models, TAO Toolkit, DeepStream Metropolis, and Triton Inference Server.
- Apply advanced pre-processing and post-processing methods to enhance model effectiveness and validate performance.
- Implement multi-object tracking algorithms across multiple camera inputs; conduct camera calibration and extract regions of interest (ROI); perform action recognition using temporal analysis.
- Develop feature extraction models and devise strategies for manipulating and analyzing latent data spaces.
- Write and optimize complex SQL queries; familiarity with NoSQL or Graph Databases like Neo4j is beneficial.
- Knowledge of infrastructure automation tools such as Terraform and Ansible is a plus.
- Experience with containerization (Docker) and container orchestration systems like Kubernetes is advantageous.
Candidate Eligibility
Open to individuals holding degrees such as B.Tech or B.E. in any discipline, B.C.A., or B.Sc. in any specialization.
Minimum education
Bachelor's Degree