Research Engineer, Computer Vision
14 hours ago
**DUTIES & RESPONSIBILITIES**
- Benchmark and validate computer vision models for technologies such as object detection, object tracking, object segmentation, pose estimation, image classification etc.
- Source for different types of computer vision datasets including data collection and create new ones as needed.
- Incorporate a wide variety of statistical and machine learning techniques such as deep learning, classification and regression models etc.
- Leverage cutting edge cloud platforms such as GCP to create automated training and testing pipelines.
**ARCHETYPES OF THE SUCCESSFUL CANDIDATE**
- Implement and validate computer vision models for technologies such as object detection, object tracking, object segmentation, pose estimation, image classification etc.
- Minimum 2 to 5 years experience in one or more of the following areas: computer vision models for technologies such as object detection, object tracking, object segmentation, pose estimation, image classification preferred.
- Programming expertise including Shell, Perl, Python with the ability to use Linux command line tools.
- Experience working with open source libraries, like TensorFlow, Pytorch, OpenCV etc.
- Experience with working on cloud computing platforms, such as, GCP, AWS etc.
- A clear communicator with the ability to deliver timely and work independently.
- Fresh graduates with relevant experience mentioned above are welcome to apply.
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