Sr. Machine Learning Engineer (Data)-1711

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Job Description

DUTIES:                               Provide technical leadership in designing and developing new software and web applications using Python; develop machine learning models using Apache Spark; perform data exploration using SQL; develop data products using Java, Go (Golang), and Databricks; perform code version control using Github; build scalable business intelligence reports using Looker; perform data modelling using LookML; develop data platforms using Snowflake; deploy data products to AWS; build CI/CD pipelines using Jenkins; identify complex problems and develop and deploy novel prototypes and algorithms to solve them; improve accuracy and functionality of algorithms and understand the overall implications of the entire machine learning frameworks; translate application requirements into problem statements; analyze and evaluate solutions both internally generated as well as third party supplied; develop novel ways to solve problems and discover new products; integrate knowledge of business and functional priorities; act as a key contributor in a complex and crucial environment; guide the successful completion of programs that identify patterns and make decisions with minimal human intervention; determine the technical objectives of an assignment; lead the design of prototypes, partnering with the product team and other stakeholders through development; conduct studies to support product or application development; design and implement end-to-end solutions using optimization and other advanced computer science technologies and owns live deployments; aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to automate analytical models; research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; contribute to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property; present papers and/or attends conferences, as well as displaying leadership in these areas; test and evaluate solutions presented to the Company by various internal and external partners and vendors; complete case studies, testing and reporting; collaborate with teams outside of immediate work group; represent the work team in providing solutions to technical issues associated with assigned projects; mentor a diverse team of junior engineers in machine learning techniques, tools and concepts; and guide and mentor junior-level engineers. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and five (5) years of experience developing software using Python; developing machine learning models using Apache Spark; performing data exploration using SQL; of which three (3) years include performing code version control using Github; of which one (1) year includes building scalable business intelligence reports using Looker; performing data modeling using LookML; deploying data products to AWS; and building CI/CD pipelines using Jenkins.

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.

Skills

Apache Spark, LookML, Python (Programming Language)

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