Overview

Senior Computer Vision Engineer (Ahmedabad)

Responsibilities

• As a Senior Computer Vision Engineer, you will design, develop, and optimize end-to-end computer vision solutions for real-world industrial, retail, and automation use cases. You will work on tasks such as building detection, tracking, and segmentation models, implementing vision analytics pipelines, and deploying deep learning models on edge devices using frameworks like TensorRT, DeepStream, OpenVINO, and Qualcomm SDKs.
• Day-to-day responsibilities include collaborating with cross-functional teams to define requirements, preparing and annotating datasets, training and evaluating models, and integrating solutions with existing systems and robotic platforms. You will also mentor junior engineers, contribute to architectural decisions, and support client-facing discussions on feasibility, performance, and deployment strategies.
• This is a full time, on-site role based in Ahmedabad.

Qualifications

• Strong foundation in Computer Vision and Pattern Recognition, including experience with image/video processing, detection, tracking, and segmentation.
• Background in Computer Science or related fields, with solid understanding of algorithms, data structures, software engineering principles, and distributed systems.
• Applied Data Science skills, including data preprocessing, dataset creation, labeling workflows, model evaluation, and performance optimization.
• Proficiency in Python and/or C++, and
• experience with deep learning frameworks such as TensorFlow and PyTorch.
• Familiarity with ONNX, model quantization, pruning, and performance tuning for real-time inference.
• Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or .