AI / Computer Vision Engineer

JOB RESPONSIBILITIES

• Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
• Designs, trains, and optimizes deep learning model pipelines for customer applications using state of the art open source models and custom models from R&D team
• Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for object segmentation / detection / classification Prototype, benchmark and implement new algorithms in production-level code
• Develop scalable machine learning and computer vision algorithms, leveraging deep learning
• Deploy deep learning models into production
• Assist business team to deliver product value
• Assist in testing and evaluation on the developed solutions by unit test, stress test, etc.
• Write professional documents for what you will develop

JOB REQUIREMENTS

• Solid knowledge of machine learning and deep learning is a MUST.
• Experience with deep learning frameworks (Tensorflow, Caffe, Pytorch).
• Demonstrated experience extracting / applying software from open source repos
• Experience with applying machine learning algorithms in imaging domains.
• Hands on experience in computer vision algorithms such as segmentation and object detection.
• Proficiency in Python and strong willingness to learn.
• Proficiency in object-oriented languages, such as C++ or Objective-C
• Proficiency in OpenCV.
• Self-learning ability, passionate, open-minded, team player, and good communication skills.
• Ability to research, prototype, benchmark and implement new algorithms in production-level code.
• Bachelor’s or Master’s degree in computer science/ Information Technology/ Engineering or a related field.