Data Science/ AI Engineer Intern
Assist in constructing deep learning framework, including machine learning, image processing, and other algorithms and image processing tracking system development.
Technology Team | Internship
What you'll be doing
• Deep learning framework construction, including machine learning, image processing, and other algorithms and image processing tracking processing system development
• Construction and optimization of deep learning models to improve efficiency, performance, and availability
• Track and research the latest techniques in image deep learning
• Develop and adapt advanced computer vision and state-of-the-art deep learning techniques
• Have fun in a highly dynamic team and drive innovations to continue as a leader in one of the fastest-growing industries
What you need to have
• Strong background in machine learning and artificial intelligence with expertise in one or more of computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems.
• Knowledge of common ML frameworks
• A passion for making ML methods robust and scalable
• Familiar with OpenCV, and able to write clean code in Python and/or C/C++ with it
• Experience with Amazon Web Services
• Strong knowledge of GIT version control software
• Excellent at creating and maintaining cross-functional working relationships.
• Excellent written and verbal communication skills
• Must be self-motivated, passionate, resourceful, adaptable, flexible, and able to manage multiple parallel-path projects
More about Tapway
Tapway leverages the power of AI Vision and Big Data technologies to transform the physical world through automation.
Tapway provides a platform to build, train, deploy and monitor AI Vision solutions in physical spaces in order to help eliminate boring repetitive manual labor, improve service quality & experience and enhance safety & security.
Started humbly in 2014 in Malaysia, Tapway now has more than 1000 sensors in Malaysia and Singapore, and have secured key partnerships with telcos, with many more in the pipeline in over 4 countries in Southeast Asia.
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