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Computer Vision Engineer
Infosys
Karnataka, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Computer visionDeep learningObject detectionImage recognitionImage segmentationVideo analytics
Free
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Computer visionDeep learningObject detection
Role Overview
Design, train, and optimize deep learning models for computer vision tasks.
Work on object detection, image recognition, segmentation, and video analytics.
Lead large-scale real-time implementations involving more than 100 video streams.
Key Skills for This Role
Computer visionDeep learningObject detectionImage recognitionImage segmentationVideo analytics
Full Job Posting
Role overview
Design, train, and optimize deep learning models for computer vision tasks.
Work on object detection, image recognition, segmentation, and video analytics.
Lead large-scale real-time implementations involving more than 100 video streams.
Responsibilities
- Fine-tune CNN and Vision Transformer models using TensorFlow, PyTorch, and ONNX.
- Build and deploy inference pipelines with NVIDIA NGC models, TAO Toolkit, DeepStream Metropolis, and Triton Server.
- Apply pre-processing and post-processing techniques to improve model performance and evaluation.
- Develop multi-object tracking algorithms across multiple camera feeds.
- Perform camera calibration and extract regions of interest.
- Develop action recognition using temporal analysis techniques.
- Develop feature extraction models and strategies for latent-space analysis and data manipulation.
Requirements
- Write complex SQL queries.
- Use NoSQL or graph databases such as Neo4j; this is advantageous.
- Use infrastructure-as-code tools such as Terraform or Ansible; this is advantageous.
- Use Docker and Kubernetes; this is advantageous.
- Understand software configuration management systems, SDLC, and agile methodologies.
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