IN
Full time
🤖 AI / ML
Computer Vision Engineer (INFSYS-EXTERNAL-248107) at Infosys
Listed by DevShelfHub
Bangalore, India
Hybrid
Mid-level · 2–5 yrs
About the Role
Real-time video analytics at scale requires deep learning engineers who can deploy vision models across 100+ video streams. Infosys is hiring a Computer Vision Engineer in Bangalore.
What you'll do
- Design, train, and optimize deep learning models for 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 TensorFlow, PyTorch, and ONNX
- Build and deploy inference pipelines using NVIDIA NGC, TAO Toolkit, DeepStream Metropolis, and Triton Server
- Apply pre- and post-processing techniques to enhance model performance
- Develop and implement multi-object tracking algorithms across multiple camera feeds
- Perform camera calibration and extract regions of interest
- Develop models for feature extraction and latent space analysis
- Write complex SQL queries; familiarity with NoSQL or Graph Databases (Neo4j) is an advantage
What we're looking for
- Bachelor/Master in Engineering, Technology, Science, or Computer Applications
- Design, train, and optimize deep learning models for computer vision tasks
- Experience with TensorFlow, PyTorch, and ONNX frameworks
- NVIDIA technologies: NGC models, TAO Toolkit, DeepStream Metropolis, Triton Server
Skills & Technologies
Required
Bachelor/Master in Engineering, Technology, Science, or Computer Applications
Design, train, and optimize deep learning models for computer vision tasks
Experience with TensorFlow, PyTorch, and ONNX frameworks
NVIDIA technologies: NGC models, TAO Toolkit, DeepStream Metropolis, Triton Server
Multi-object tracking, camera calibration, and action recognition experience
Proficiency in Python
Good knowledge of software configuration management systems
Strong business acumen and cross-industry thought leadership
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role leads large-scale real-time computer vision implementations with NVIDIA technologies.
- Design, train, and optimize deep learning models for computer vision tasks
- Lead large-scale real-time implementations involving 100+ video streams
- Fine-tune CNNs and Vision Transformers using TensorFlow, PyTorch, and ONNX
- Build inference pipelines using NVIDIA NGC, TAO Toolkit, DeepStream, and Triton Server
- Apply pre- and post-processing techniques to enhance model performance
- Develop 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 latent space analysis
- Work with Docker, Kubernetes, Terraform, and infrastructure as code
About Infosys
Infosys Engineering Services delivers AI and computer vision solutions for global clients across industries. The team builds production-grade deep learning systems for object detection, image recognition, segmentation, and video analytics.
- Industry
- Technology
- Company Size
- 500+
- Website
- infosys.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–5 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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