Job Description

Req ID:

327820




NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.



We are currently seeking a DataRobot Consultant & Deployment Lead to join our team in Bangalore, Karn?taka (IN-KA), India (IN).



Job Duties: Overview

U.S. Bank is seeking an experienced and visionary AI Architect to lead the design, deployment, and optimization of DataRobot's AI platform within our Azure cloud environment. This role requires deep technical expertise in AI/ML systems, containerized deployments, and cloud infrastructure, as well as the ability to guide cross-functional teams and influence strategic decisions. The ideal candidate will serve as a Subject Matter Expert (SME) and technical leader, ensuring scalable, secure, and high-performing AI solutions across the enterprise.



Key Responsibilities:

Architect and oversee the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS.

Lead the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and plan the upgrade path to v11.

Collaborate with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks.

Serve as the primary escalation point for complex technical issues related to DataRobot configuration, performance, and integration.

Define and enforce best practices for model lifecycle management, including onboarding, execution with historical data, and metric validation.

Align DataRobot outputs with existing Power BI dashboards and develop equivalent visualizations within the platform.

Guide the configuration of Azure services required for DataRobot, including networking, storage, identity, and security.

Troubleshoot AKS container setup and configuration issues, and propose scalable, secure solutions.

Lead the Shield process and manage Jira stories across PreDev, PostDev, Prod, and RTx environments.

Mentor and train internal teams on DataRobot capabilities, deployment strategies, and AI/ML best practices.

Maintain comprehensive technical documentation and contribute to the development of enterprise AI standards.

Required Skills & 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.



Minimum Skills Required: Overview

U.S. Bank is seeking an experienced and visionary AI Architect to lead the design, deployment, and optimization of DataRobot's AI platform within our Azure cloud environment. This role requires deep technical expertise in AI/ML systems, containerized deployments, and cloud infrastructure, as well as the ability to guide cross-functional teams and influence strategic decisions. The ideal candidate will serve as a Subject Matter Expert (SME) and technical leader, ensuring scalable, secure, and high-performing AI solutions across the enterprise.



Key Responsibilities:

Architect and oversee the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS.

Lead the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and plan the upgrade path to v11.

Collaborate with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks.

Serve as the primary escalatio

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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