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Role :-
Work with data like images, videos, speech and real-time sensor data, etc.
Design, train, optimize, and deploy deep learning/computer vision models.
Develop unit tests, documentation for features, and evaluate and benchmark model performance and quality.
Communicate effectively between the business team and the engineering team to gather and implement project requirements.
Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
Participate in internal and external conferences and workshops.
Responsibilities :-
3+ years of experience in developing Deep Learning/Computer Vision and classic ML models for practical applications.
Familiar with deep learning frameworks, such as PyTorch, ,Python, C++, NCNN, etc.
Have practical knowledge of image/video processing techniques and deep learning in the computer vision domain.
Proven track record in top-tier open data science/deep learning competitions and/or contributions to deep learning/data science frameworks.
Familiarity with working knowledge in Android/iOS or GCP.Strong communication skills to understand business stakeholders needs and to effectively convey the results of analytical solutions.
Ability to write clear and concise technical documentation.
Job ID: 136190485