GEICO Technology Solutions is looking for a Senior MLOps Engineer to join the team and help develop the Data Ops team.As a member of the Data Ops team, you will be responsible for providing and maintaining a robust and scalable machine learning & data platform in Microsoft Azure. This includes configuring and provisioning components based on end-users needs, productionizing machine learning resources and routines, training platform users and advising on best practices, and providing continuous monitoring solutions for platform stability. You will support our IT and data science stakeholders in their efforts to design, deploy, and maintain machine learning models that provide value to many different areas of GEICO's business - from applications to marketing and underwriting. You will collaborate with other IT teams, including architecture, network teams, and DevOps Catalog to build solutions that meet the customer's needs within our organizational parameters and processes.Roles and ResponsibilitiesWork with platform users to understand requirements and use cases, and to advise on strategy and best practice for use of the platform. Monitor cloud-based systems and components for availability, performance, reliability, security, efficiency, and ability to meet non-functional requirements and service level agreements.Create and configure appropriate cloud resources to meet the needs of the end users, including Azure Kubernetes Clusters, Machine Learning Workspaces and compute instances.Create and maintain pipelines in Azure DevOps to automate deployment of code and resources (CICD).Strong, proven problem-solving skills and a proven ability to apply critical/analytical thinking to deliver sustainable and creative solutions to complex requirements.As needed, document topology, processes, and solution architecture.Assist with the training and enablement of end users, including data scientists, program managers, and data consumersQualificationsUnderstanding of machine learning concepts and challenges, and understanding of Machine Learning Life CycleExperience with the Microsoft Azure cloud environments & associated components and resources, to create enterprise-grade applications environmentsExperience with cloud data storage and compute components including Kubernetes, data lakes, compute clusters, and data warehousesKnowledge of DevOps principles and comfortable working in Agile environmentStrong working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.)Experience using Azure DevOps (ADO) platform to create and maintain CICD pipelinesWilling and able to excellent provide support 24x7 for the platform on an on-call rotation basisAdditional Helpful QualificationsExperience with Microsoft Azure machine learning componentsExperience with Python for data manipulation and data science, and notebook-based data analysis solutions like Jupyter or Azure DatabricksExperience performing Root Cause Analysis (RCA) for application and infrastructure related issuesSoft SkillsAbility to work independently, and deliver results and drive projects with minimal supervisionStrong ability to communicate blockers and issues to management for escalation and timely resolutionStrong team player, with desire to learn new skills and broaden experience Education:Bachelor's Degree in Computer Science or a related field Benefits:At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO's competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) PlanTuition Assistance including Direct Billing and Reimbursement payment plan optionsPaid Training, Licensures, and Certificates *Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location. GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team. #LI-AA3