Develop and deploy machine learning algorithms and software using Python, Numpy, and Pandas; perform machine and deep learning engineering; analyze data in relational databases using SQL; use Tensorflow and PyTorch for training and inference of deep neural networks; perform version control using Git; evaluate accuracy and functionality of machine learning algorithms; translate application requirements into machine learning problem statements; analyze and evaluate internally generated and third party supplied solutions; develop novel ways to use machine learning to solve problems and discover new products; implement, refine, and validate machine learning algorithms for products and applications; take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patent-worthy solutions, Application Programming Interfaces (APIs), and other intellectual property; test and evaluate solutions presented to the Company by various internal and external partners and vendors; and design proof of concept solutions and contribute to studies to support future product or application development. Position is eligible for 100% remote work.

　　REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, Engineering, Mathematics, Data Science, Analytics, or related technical or quantitative field, and one (1) year of experience performing machine learning engineering and deep learning engineering; developing software using Python, Numpy, and Pandas; analyzing data in relational databases using SQL; using Tensorflow and PyTorch for training and inference of deep neural networks; and performing version control using Git. Experience may be gained through post-baccalaureate work or post-graduate level research.*

　　PLEASE SEND RESUMES TO [email protected] AND REFERENCE JOB ID # 6351 WHEN APPLYING FOR THIS POSITION.