Computer Vision Engineer
Adagrad is known for developing state-of-the-art Computer Vision based AI solutions. Get a chance to engineer and deploy your algorithms on thousand's of cameras across the globe!
The opportunity
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
- 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. (E&TC /Computer / IT / Mechanical / Electronics)
- Python, C++
- Department
- Research and Development
- Role
- Computer Vision Engineer
- Locations
- Adagrad HQ
About Adagrad AI
At Adagrad, we're leveraging hardware-accelerated algorithms, enhanced Computer Vision & Deep Learning applications to develop and deploy Scalable Solutions. Be it a hypermarket or an industrial setting, we enable enterprises and establishments to harness the optimum potential of academic advancements in AI - applied to real-world situations.
Computer Vision Engineer
Adagrad is known for developing state-of-the-art Computer Vision based AI solutions. Get a chance to engineer and deploy your algorithms on thousand's of cameras across the globe!
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