Lead ML Engineer, Enterprise Data & ML Ops-2479

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Job Description

DUTIES:                               Provide technical leadership to a team responsible for developing machine learning (ML) algorithms, models, and data pipelines for digital and linear advertising using Keras, Tensorflow, Pytorch, Spark, Python, and Scala; measure ML model drifts; perform CI/CD processes using Vault services, Concourse, and Artifactory; utilize Agile development methodologies; use the Databricks platform for data analytics; create feature stores that can be reused across models; build and deploy models on AWS; work with data analysts and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise; identify complex machine learning problems and develop and deploy novel machine learning prototypes and algorithms to solve them; guide the successful completion of programs that identify patterns and make decisions with minimal human intervention; lead the design of prototypes, partnering with the product team and other stakeholders through development; design and implement end-to-end machine learning solutions using optimization and other advanced computer science technologies, and own live deployments; conduct studies to support product or application development; translate application requirements into problem statements; analyze and evaluate machine learning solutions; aggregate large amounts of data and information from large numbers of sources to discover patterns and features necessary to automate analytical models; complete case studies, testing, and reporting; create patents, Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented to the company; and guide and mentor junior-level engineers. Position is eligible for 100% remote work.

REQUIREMENTS:             Master’s degree (or foreign equivalent) in Computer Science, Statistics, Data Science, Analytics, or a related quantitative field, and two (2) years of experience developing machine learning (ML) algorithms; measuring ML model drifts; performing CI/CD processes using Artifactory; creating data pipelines and ML models with Spark, Python, and Scala; using Tensorflow and Pytorch; utilizing Agile development methodologies; using the Databricks platform for data analytics; of which one (1) year of experience must include creating feature stores that can be reused across models; developing ML models and algorithms for digital and linear advertising; and building and deploying models on AWS

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

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