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, secure, and high-performing AI solutions across the enterprise. Your responsibilities will include: - Architecting and overseeing the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS. - Leading the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and planning the upgrade path 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 with historical data, 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, and proposing scalable, secure solutions. - Leading the Shield process and managing Jira stories across PreDev, PostDev, Prod, and RTx 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. Qualifications required for this role include: - 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. NTT DATA is a global innovator of business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. As a leading provider of digital and AI infrastructure, NTT DATA is part of the NTT Group, investing in R&D to support organizations and society in confidently moving into the digital future.,