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Computer Vision Engineer (PyTorch/TensorRT)
Computer Vision Engineer
Computer Vision Engineer to develop and optimize PyTorch/TensorRT models for real-time inference and production deployment.
About the role
Key Responsibilities
- Develop and optimize computer vision models for real-time inference using PyTorch and TensorRT
- Design and implement algorithms for object detection, segmentation, and tracking
- Collaborate with cross-functional teams to integrate vision models into production systems
- Profile and optimize model performance for latency and accuracy trade-offs
- Write clean, maintainable, and well-documented code
- Stay updated with the latest advancements in computer vision and deep learning
Requirements
- 3+ years of experience in computer vision or related fields
- Proficiency in PyTorch and TensorRT for model development and deployment
- Strong programming skills in Python and C++
- Experience with deep learning frameworks and optimization techniques
- Familiarity with image processing, feature extraction, and neural network architectures
Skills
pytorchtensorrtcomputer visiondeep learningcpython