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Computer Vision Engineer

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Onsite

Computer Vision Engineer

Adagrad Ai

Computer Vision Engineer

Skills

Deep LearningData AnalysisMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

  • Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
  • Take ownership to drive computer vision solutions and meet customer requirements.
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
  • Developing data handling and machine learning pipelines for training
  • In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
  • Implementing algorithms in robust, efficient, and well-tested code.

Skills and attributes for success

To qualify for the role, you must have

  • Experience of minimum 2 years
  • Ability to develop Deep Learning frameworks to solve problems.
  • Design and create platforms for image processing and visualization.
  • Knowledge of computer vision libraries.
  • Understanding of dataflow programming.
  • B.E. (ETC /Computer / IT / Mechanical / Electronics)
  • C++, video analytics, CUDA, Deepstream

Department Research and Development Role Computer Vision Engineer Locations Adagrad HQ <

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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