[Remote] Machine Learning Operations Lead

Note: The job is a remote job and is open to candidates in USA. RELX Inc. is seeking a Machine Learning Operations Lead to develop a comprehensive data and analytics cloud migration strategy. The role involves managing and optimizing data lakes and data science virtual machines, as well as partnering with data science and IT engineering teams to enhance operational efficiency.ResponsibilitiesDevelop a comprehensive data and analytics cloud migration strategy as part of a broader technology modernization and migration to Microsoft AzureDrive thought leadership and execution of cross-functional analytics teams to enable adoption of data processing and analytical infrastructure in the cloudManage, 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 teamsArchitect and build core components of machine learning and data engineering platform infrastructureDevelop a comprehensive user, developer, manager education program to accelerate onboarding into a governed self-service data ecosystemDefine, manage and report out operational SLAs and KPIs for data platforms and solutionsPartner with data science and IT engineering teams to high performance, efficient feature pipelines from backend proprietary dataSimplify the technology stack to sunset legacy applications while minimizing business disruptionsPerform other duties as neededSkillsBachelor's degree (or foreign equivalent) in Applied Computer Science, Computer Engineering, Information Systems, or a related field required5 years of experience in job offered or related occupations required5 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 systems2 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 workloadsBenefitsStandard company benefitsCountry specific benefitsWe are committed to providing a fair and accessible hiring processIf you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120Company OverviewRELX is a provider of information-based analytics for professional and business customs. It was founded in 1993, and is headquartered in London, England, GBR, with a workforce of 1001-5000 employees. Its website is https://www.relx.com.