Machine Learning Engineer 3

Develop and deploy machine learning algorithms; develop and deploy mathematical optimization solutions, including mathematical programming, including linear and mixed integer programming and decomposition techniques; write production code; apply statistical knowledge for planning and forecasting; use Python and Git; create time series forecasts; use SQL; perform distributed computing using Spark and TensorFlow; evaluate accuracy and functionality of machine learning algorithms; translate application requirements into machine learning and mathematical optimization problem statements; analyze and evaluate solutions both internally generated as well as third party supplied; develop novel ways to use machine learning to solve problems and discover new products; implement, refine and validate machine learning algorithms and mathematical optimization solutions 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 and mathematical optimization solutions 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; 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, any Engineering, Statistics, Data Science, Physics, Applied Mathematics, or a related technical or scientific field, and one (1) year of experience developing and deploying machine learning algorithms and mathematical optimization solutions, including linear programming, mixed integer programming, and decomposition techniques; writing production code using Python; applying statistical knowledge to planning and forecasting; performing version control using Git; creating time series forecasts; analyzing data using SQL; and performing distributed computing using TensorFlow.


PLEASE SEND RESUMES TO JOB_CANDIDATES@COMCAST.COM AND REFERENCE JOB ID# 0633 WHEN APPLYING FOR THIS POSITION.