Job Description
πΌ Position: Engineer β DataRobot & Azure
π Location: Bangalore, India
π’ Company: NTT DATA
π Req ID: 327976
π Job Type: Full-Time | On-site | Experienced
π About NTT DATA
NTT DATA is a global leader in digital transformation, serving over 75% of the Fortune Global 100 and operating in 50+ countries. With $30B in revenue and a strong focus on AI, cloud, and data services, we are helping shape the future of intelligent business infrastructure. Join us to innovate, optimize, and transform industries sustainably.
π Job Overview
We are hiring an Engineer who will act as the technical SME for DataRobot deployments, cloud infrastructure, and AI/ML model operationalization. If you have a solid background in Azure, Kubernetes, MLOps, and DataRobot, this is your chance to work on cutting-edge AI products at enterprise scale.
π οΈ Key Responsibilities
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Serve as the technical lead for DataRobotβs AI platform integration and management.
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Collaborate with cross-functional teams: Data Scientists, AI Engineers, and Business Stakeholders.
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Onboard & migrate existing SAS models and DataRobot Prime v6 (Python) models to DataRobot v8+.
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Ingest and monitor LST reports, generate metrics, and match Power BI dashboards with DataRobot outputs.
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Upgrade DataRobot from v8 to v11 on Azure (AKS).
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Configure essential Azure services: AKS, ADO, networking, and storage.
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Resolve container issues, propose scalable architecture, and ensure robust deployment pipelines.
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Provide training, documentation, and best practices to internal teams.
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Operate within the Shield process, using Jira for managing PreDev, PostDev, Prod, and RTx environments.
β Required Skills
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β Primary: Kubernetes (AKS preferred)
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β Secondary: Azure DevOps, cloud platform configuration
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β Hands-on expertise with DataRobot in large-scale deployments
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β Working knowledge of Azure Cloud, containers, and networking
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β Python programming + experience with SAS model ingestion
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β Familiarity with model performance monitoring and Power BI visualizations
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β Jira workflow knowledge and experience with agile/enterprise environments
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β Strong problem-solving, documentation, and communication skills
π Preferred Skills
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Experience in regulated environments (e.g., banking, finance)
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Familiarity with U.S. Bank Shield process or equivalent governance frameworks
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Knowledge of AI/ML lifecycle, MLOps, and model governance
π Why Join NTT DATA?
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π Work with a global leader in cloud, AI, and data transformation
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π€ Be part of high-impact, enterprise AI deployments
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π§ Learn cutting-edge technologies in a collaborative, agile environment
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πΌ Career growth backed by $3.6B in R&D investments annually
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β€οΈ People-first organization with inclusive and diverse culture
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π Create sustainable digital solutions with real-world impact
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