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Computer Vision Expert

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Onsite

Computer Vision Expert

Digixvalley

Computer Vision Expert

Skills

Google Cloud PlatformDeep LearningDockerPythonNumPyPyTorchAIAWSLinuxBlenderFastAPI

25 days ago

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Important information


Contract type:

Permanent

Location:

Lahore, Punjab, Pakistan

Work mode:

Onsite

Published on:

28 September 2026

What they need


We are looking for a Computer Vision Engineer / Expert with 3–4 years of proven professional experience in developing and deploying real-world Computer Vision and AI solutions. The ideal candidate should have strong hands-on experience with Python, PyTorch, OpenCV, Computer Vision, Deep Learning, image processing, segmentation, and real-time AI systems. Experience in Human Parsing, Virtual Try-On, 3D Human Reconstruction, and Generative AI will be highly preferred.

Key Responsibilities :

  • Develop and deploy Computer Vision and Deep Learning solutions.
  • Work on image/video processing, object detection, segmentation, classification, and pose estimation.
  • Develop Human Parsing and Body Segmentation solutions.
  • Build and optimize real-time Computer Vision applications.
  • Train, fine-tune, test, and evaluate AI/CV models.
  • Create, clean, annotate, and manage Computer Vision datasets.
  • Optimize models for GPU inference, performance, and low latency.
  • Deploy AI/CV models in production and cloud environments.
  • Integrate Computer Vision models into software products and applications.
  • Research and implement modern Computer Vision and AI techniques.

Requirements :

  • 3–4 Years of Proven Professional Experience in Computer Vision / AI.
  • Strong hands-on experience with Python, PyTorch, OpenCV, and NumPy.
  • Strong Computer Vision and Deep Learning fundamentals.
  • Practical experience with image segmentation, object detection, classification, and pose estimation.
  • Experience with real-world Computer Vision projects and production deployment.
  • Experience with real-time/video-based Computer Vision is preferred.
  • Knowledge of ONNX, TensorRT, CUDA, and GPU inference.
  • Experience with Linux, Git, Docker, and REST APIs.
  • Experience with dataset creation, annotation, and preprocessing.
  • Human Parsing / Body Segmentation.
  • Virtual Try-On (VTON/VITON).
  • Diffusion Models, Stable Diffusion, Inpainting, and ControlNet.
  • SMPL / SMPL-X and 3D Human Body Reconstruction.
  • Depth Maps, Point Clouds, Meshes, and 3D Vision.
  • Open3D, PyTorch3D, Trimesh, or Blender.
  • C++, FastAPI, AWS/GCP GPU infrastructure.

Work Location: In person

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