ZestIOT - Computer Vision Engineer - OpenCV/PyTorch

3 days ago

Hyderabad, Telangana, India Zest IoT Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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