Computer Vision Engineer (PyTorch/TensorRT)

1 month, 3 weeks ago
Mid Level
Software Development
Flatgigs

Flatgigs

FlatGigs tailors recruitment strategies for flat-structured companies, aligning teams with skills and culture. Utilizing tech tools for precise candidate organization.

Professional Services

Description

  • Train and fine-tune detection, classification, and segmentation models (e.g., YOLO, ResNet, U-Net).
  • Implement multi-object tracking (MOT) algorithms for complex video streams.
  • Optimize models for production deployment, including quantization, pruning, and conversion for inference runtimes.
  • Write production-grade Python code with a focus on modularity, scalability, and maintainability.
  • Containerize applications and manage consistent deployments using Docker.
  • Own the end-to-end pipeline from data and model training to production rollout and monitoring.
  • Support and implement non-vision AI solutions as needed.

Requirements

  • 3+ years of experience in computer vision and deep learning.
  • Proficiency in Python, PyTorch, and OpenCV.
  • Experience training and fine-tuning detection, classification, and segmentation models (examples: YOLO, ResNet, U-Net).
  • Experience implementing multi-object tracking (MOT) on video streams.
  • Strong preference for experience with NVIDIA TensorRT and model optimization techniques (quantization, pruning).
  • Familiarity with containerization and deployment using Docker.
  • Solid software engineering fundamentals, including Git, testing, and CI/CD practices.
  • Ability to work on other non-vision AI implementations when required.

Interested in this position?

Apply directly on the company website

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