DataRobot Consultant & Deployment Lead

As a DataRobot Consultant & Deployment Lead at NTT DATA, you will play a crucial role in architecting and overseeing the deployment of DataRobot on Azure, ensuring scalable and high-performing AI solutions across the enterprise. Your responsibilities will include: - Architecting and overseeing the end-to-end deployment of DataRobot on Azure, utilizing containerized environments with AKS. - Leading the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, with a plan for upgrade to v11. - Collaborating with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks. - Serving as the primary escalation point for complex technical issues related to DataRobot configuration, performance, and integration. - Defining and enforcing best practices for model lifecycle management, including onboarding, execution, and metric validation. - Aligning DataRobot outputs with existing Power BI dashboards and developing equivalent visualizations within the platform. - Guiding the configuration of Azure services required for DataRobot, including networking, storage, identity, and security. - Troubleshooting AKS container setup and configuration issues, proposing scalable and secure solutions. - Leading the Shield process and managing Jira stories across different environments. - Mentoring and training internal teams on DataRobot capabilities, deployment strategies, and AI/ML best practices. - Maintaining comprehensive technical documentation and contributing to the development of enterprise AI standards. Key Qualifications: - 7+ years of experience in AI/ML architecture, cloud engineering, or related technical leadership roles. - Deep expertise in DataRobot platform deployment, configuration, and monitoring. - Strong proficiency with Azure services, especially AKS, Azure Storage, Azure Networking, and Azure DevOps. - Proven experience with containerized deployments and Kubernetes troubleshooting. - Solid understanding of model performance metrics, monitoring strategies, and visualization tools like Power BI. - Proficiency in Python and familiarity with SAS model structures and LST reports. - Strong leadership, communication, and cross-functional collaboration skills. - Experience working in regulated environments and navigating enterprise governance processes. Preferred Qualifications: - Experience in financial services or banking environments. - Familiarity with U.S. Bank's Shield process or similar enterprise deployment frameworks. - Background in MLOps, CI/CD pipelines for ML, and AI governance. NTT DATA is a global innovator providing business and technology services to clients worldwide. With a commitment to innovation and transformation, we are dedicated to helping clients succeed in the digital age. Visit us at us.nttdata.com,