Machine Learning Operations Lead
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# R115208. Salary 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. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. 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 or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are 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. USA Job Seekers: EEO Know Your Rights.