Relx Group

Machine Learning Operations Lead

Relx Group$194K — $252K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Applied Computer Science, Computer Engineering, Information Systems, or related field.
  • 5 years of experience in cloud migration and analytics architecture.
  • Proficiency in Azure technologies including Azure Fundamentals, Azure Databricks, and Azure Data Lake storage.
  • Experience developing orchestration pipelines and automated data ingestion processes.
  • Software development skills for creating applications supporting machine learning and secure data services.

Responsibilities

  • Develop data and analytics cloud migration strategy for Microsoft Azure.
  • Lead cross-functional analytics teams for cloud-based data processing adoption.
  • Manage and optimize data lakes and DevOps tools for data science.
  • Architect key components for machine learning and data engineering platforms.
  • Create education programs to support user onboarding to self-service data systems.
  • Define and report operational SLAs and KPIs for data platforms.
  • Collaborate with data science and IT teams to develop efficient feature pipelines.

Benefits

  • Telecommuting options from anywhere within the U.S.
  • Participation in company-provided training and education programs.
  • Opportunity to work within a cross-functional team and lead initiatives.
  • Access to advanced tools and platforms for machine learning and analytics.
  • Standard company benefits including health and wellness programs.
Full Job Description
  • LexisNexis Risk Solutions, Inc.
  • Machine Learning Operations Lead
  • 1000 Alderman Drive, Alpharetta, GA 30005


JOB DESCRIPTION:
  • Develop a comprehensive data and analytics cloud migration strategy as part of a broader technology modernization and migration to Microsoft Azure. Drive thought leadership and execution of cross-functional analytics teams to enable adoption of data processing and analytical infrastructure in the cloud. Manage, optimize, and operationalize data lakes, data science virtual machines and other DevOps tools (Github, Jfrog) to enable faster go-to-market capabilities for data science teams. Architect and build core components of machine learning and data engineering platform infrastructure. Develop a comprehensive user, developer, manager education program to accelerate onboarding into a governed self-service data ecosystem. Define, manage and report out operational SLAs and KPIs for data platforms and solutions Partner with data science and IT engineering teams to high performance, efficient feature pipelines from backend proprietary data. Simplify the technology stack to sunset legacy applications while minimizing business disruptions. Perform other duties as needed.


REQUIREMENTS:
  • Bachelor's degree (or foreign equivalent) in Applied Computer Science, Computer Engineering, Information Systems, or a related field required.
  • 5 years of experience in job offered or related occupations required.
  • Also required is:
    • 5 years of experience: developing architectural design documents to enable cloud transformation and migration of key on-prem services to cloud to enable faster go-to-market for engineering teams; with key technologies including Azure Fundamentals, Azure Databricks, Azure Data Lake storage and Azure Compute to design, develop the right set of tools for analytics research and development in Azure; and developing orchestration pipelines for data ingest, data transfer and developing automated data pipelines to improve operational efficiency for batch file transfers across disparate systems.
    • 2 years of experience: building custom applications for data and server compute to enable machine learning (ML) enabled computes to be readily available for model development and deployment for analytics teams; and supporting a secure, robust and resilient data and cloud related services to protect systems from security vulnerabilities, enabling scaling of services based on project needs and develop backup systems to ensure redundancy of services for non-production and production workloads.
  • Employee reports to LexisNexis Risk Solutions, Inc. office in Alpharetta, GA, but may telecommute from any location within the U.S.
  • Experience can be concurrent.


SALARY RANGE FOR REQ# R115208:
  • $194,400 to $252,800/year + standard company benefits
  • This salary range is specifically for REQ# R115208Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.


#LI-DNI

#ICT
U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.

About Relx Group

RELX Group is a global provider of information-based analytics and decision tools for professional and business customers. The company operates in four market segments: scientific, technical and medical; risk and business analytics; legal; and exhibitions. RELX's products and services include electronic databases, online information services, workflow tools, and print and digital books. The company was founded in 1993 and is headquartered in London, England.
Learn more about Relx Group
Size
33,500 employees
Market Cap
$53.1 billion
Industry
Net Income
$1.2 billion
Founded
2018
5 Year Trend
+1%
Revenue
$7.1 billion
NASDAQ

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