Responsibilities

• Design, build, train, evaluate and test Machine Learning models, focusing on computer vision systems;
• Prototype POC for a particular computer vision and machine learning problem to verify an idea;
• Participate in the team’s software processes;
• Improve and develop different computer vision and machine learning services in production;
• Identify and resolve performance and scalability issues.

Requirements

• 5+ years experience with machine learning or computer vision;
• Experience in deploying machine learning models to production, practical knowledge of how to build efficient end-to-end ML workflows;
• Strong skills in recent machine learning algorithms, especially deep learning and convolutional neural network, understanding of machine learning fundamentals, such as data visualization, data cleaning, SVM, decision trees, etc.;
• Strong skills in image and video processing and analysis;
• Strong mathematical modeling and analytical skills in Python or MATLAB;
• Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy or scipy, etc.;
• Familiar with at least one of the deep learning frameworks like Tensorflow, PyTorch, MXNet, etc.;
• Good command of object oriented programming coding ability capability, including speed and overall quality; specifically, must be able to write high-performance product quality codes with C++ or Python;
• Comfortable and familiar with embedded system development under Linux environment for machine learning model deployment and performance tuning.