This job offer is not available in your country.
ZestIOT - Computer Vision Engineer - OpenCV / PyTorch
Zest IoTHyderabad6 days ago
Job descriptionExpert-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 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.
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 :
models.
(ref : hirist.tech)
Create a job alert for this search
Engineer Computer Vision • Hyderabad