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RELX INC Lead Machine Learning Engineer in Philadelphia, Pennsylvania

Responsibilities:>Develop innovative strategies for an automated data processing pipeline and best practices for analyzing and auditing data.>Develop innovative strategies and processes for ingesting, managing and matching data in bulk>Manage small team of engineers to assist in processing the data and the data pipeline>Manage and monitor various data feeds through the system and handle issues as they arise>Writing queries, functions, and ETL jobs>Consult on feature design, implementation to bring consistent designs and implementations across multiple entity types>Setup and configure and complete deployment jobs for the project>Perform capacity monitoring and short and long-term capacity planning

Qualifications:>5+ years experience with AWS products>Must include intimate familiarity with EC2, Lambdas and autoscaling>AWS Certification is a plus>Expert in machine learning techniques and presenting data findings>Expert Python programmer>Expert with query languages (MySQL, ElasticSearch)>Bachelor of Science Degree in Engineering, Mathematics, or Computer Science or similar field

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

RELX is a global provider of information and analytics for professional and business customers across industries.

We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

In short, we enable our customers to make better decisions, get better results and be more productive.

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