Adagrad AI is seeking a skilled Computer Vision Engineer to join their Research and Development team at their headquarters. This role involves developing, optimizing, and deploying computer vision and deep learning models for various applications, focusing on edge devices and real-world deployment.
| Job Description | Details |
|---|---|
| Company Name | Adagrad AI |
| Post Name | Computer Vision Engineer |
| Career Field | Research and Development |
| Employment Type | Full-Time |
| Job Location | Adagrad HQ, [Location not specified] |
| Expected CTC | 7.7 LPA |
| Vacancy | Not specified |
| Starting Date of Online Application | Not specified |
| Last Date of Online Application | Not specified |
Job Description:
Your Role:
- Collaborate with the research team to research, develop, evaluate, and optimize computer vision and deep learning models for various applications.
- Take ownership of driving computer vision solutions to meet customer requirements.
- Deploy developed models on edge devices, optimize them for performance, and maintain them to address additional customer requirements in the future.
- Develop data handling and machine learning pipelines for training purposes.
- Implement computer vision models including object detection, semantic segmentation, and key-point detection.
- Write robust, efficient, and well-tested code to implement algorithms and solutions.
Skills and Attributes for Success:
- Ability to develop deep learning frameworks to solve complex problems.
- Design and create platforms for image processing and visualization.
- Knowledge of computer vision libraries and frameworks.
- Understanding of dataflow programming concepts.
- Bachelor’s degree in Engineering (E&TC, Computer, IT, Mechanical, Electronics).
- Proficiency in Python and C++.
Department: Research and Development
Role: Computer Vision Engineer
Locations: Adagrad HQ
About Adagrad AI:
At Adagrad AI, they leverage hardware-accelerated algorithms and advanced Computer Vision & Deep Learning applications to develop scalable solutions. Their focus spans various sectors, enabling enterprises to harness academic advancements in AI for practical applications in real-world scenarios.
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