Job Location: Bangalore/Bengaluru
Roles and Responsibilities
- Excellent understanding of computer vision and image processing techniques and algorithms, such as face recognition, object recognition etc.
- Deep understanding and hands-on of ML and DL algorithms like classification, regression, CNN, random forest, SVM
- Proficient and excellent hands-on in python with exposure to keras, tensorflow, PyTorch and ML libraries and framework .
- Proficient in OpenCV for computer vision tasks.
- Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
- Deep understanding of state of the art deep learning architectures like YOLO, SSD, RCNN, Inception Net, etc.
- Experience in creation and production deployment of ML solutions as API/micro-services.
- Ability to write robust and testable code.
- Self-driven individual with a drive to learn the latest in the technology.
- Research mind-set with the courage to try things and learn from them.
- Familiar with cloud and Linux environment infra.
Desired Candidate Profile
- Experience with Machine Learning and artificial Intelligence algorithms deployed at scale
- Advanced knowledge of deployment, Git code management, containerization, logging, monitoring.
- Can understand customer requirement and work independently
Perks and Benefits
As Per Company
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