Relx - Raleigh, NC

posted 2 months ago

Full-time - Mid Level
Raleigh, NC
Management of Companies and Enterprises

About the position

As a Lead Machine Learning Engineer at RELX INC, you will play a pivotal role in developing innovative strategies for an automated data processing pipeline. This position requires a deep understanding of best practices for analyzing and auditing data, ensuring that our data management processes are both efficient and effective. You will be responsible for creating processes for ingesting, managing, and matching data in bulk, which is crucial for our operations. In addition to your technical expertise, you will manage a small team of engineers who will assist in processing the data and maintaining the data pipeline. Your leadership will be essential in guiding the team through various challenges, including managing and monitoring data feeds through the system and addressing any issues that arise. You will also be tasked with writing queries, functions, and ETL jobs to facilitate data processing. Your role will involve consulting on feature design and implementation, ensuring that we maintain consistent designs and implementations across multiple entity types. You will set up, configure, and complete deployment jobs for the project, while also performing capacity monitoring and planning for both short and long-term needs. This position is ideal for someone who is not only technically proficient but also has a passion for leading teams and driving innovation in data processing.

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 a 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.
  • Write queries, functions, and ETL jobs.
  • Consult on feature design and implementation to bring consistent designs and implementations across multiple entity types.
  • Set up, configure, and complete deployment jobs for the project.
  • Perform capacity monitoring and short and long-term capacity planning.

Requirements

  • 5+ years experience with AWS products.
  • 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.
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