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ZestIOT - Computer Vision Engineer - OpenCV/PyTorch
ZestIOT - Computer Vision Engineer - OpenCV/PyTorchZest IoT • Hyderabad
ZestIOT - Computer Vision Engineer - OpenCV / PyTorch

ZestIOT - Computer Vision Engineer - OpenCV / PyTorch

Zest IoT • Hyderabad
30+ days ago
Job description

Key Responsibilities :

  • Lead the design and implementation of advanced computer vision algorithms.
  • Architect, train, and optimize deep learning models for object detection, semantic segmentation, and real-time inference across diverse environments.
  • Collaborate with cross-functional engineering, product, and research teams to integrate computer vision capabilities into scalable, production-grade systems.
  • Drive data preprocessing strategies to ensure high-quality inputs for model training, with a focus on robustness and generalizability.
  • Conduct rigorous experimentation, benchmarking, and performance analysis to continuously improve model accuracy and efficiency.
  • Develop and optimize algorithms for low-latency, high-throughput inference pipelines using GPU acceleration.
  • Stay ahead of emerging trends in computer vision, deep learning, and edge deployment translating research into practical solutions.
  • Mentor junior engineers and contribute to technical reviews, architecture decisions, and roadmap planning.

Required Skills and Qualifications :

  • Expert-level proficiency in Python with deep understanding of algorithms and data structures tailored to computer vision.
  • Strong foundation in machine learning, neural networks, and image processing techniques.
  • Extensive hands-on experience with PyTorch for building, training, and deploying deep learning
  • models.

  • Proficiency in OpenCV for image manipulation, filtering, edge detection, and segmentation.
  • Solid grasp of foundational deep learning architectures (e.g., CNNs, U-Nets, ResNets) and their practical deployment.
  • Experience working with multi-spectral or hyper-spectral data, especially for detection and segmentation tasks.
  • Familiarity with real-time inference frameworks such as ONNX Runtime and TensorRT, including optimization for GPU-based deployment.
  • Experience integrating with Redis, RabbitMQ, and SQL databases for data streaming and messaging.
  • Proficient in Docker and CUDA frameworks for containerized model deployment and GPU acceleration.
  • Strong command of Linux environments, including scripting, debugging, and performance tuning.
  • Proven ability to solve complex problems independently and lead technical initiatives within a team.
  • Excellent communication skills for cross-functional collaboration and technical documentation.
  • (ref : hirist.tech)

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