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**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, Karnātaka (IN-KA), India (IN).

Job Duties: Overview

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:

o Bachelor’s/Master’s degree in Computer Science or Data Science

o 5 to 8 years of experience in software development and with data structures/algorithms

o 5 to 7 years of experience with programming language Python or JAVA, database languages (e.g., SQL), and no-sql

o 5 years of experience in developing large-scale platform, distributed systems or networks, experience with compute technologies, storage architecture

o Strong understanding of microservices architecture

o Experience building AKS applications on Azure

o Strong understanding and experience with Kubernetes for availability and scalability of the application in Azure Kubernetes Service

o Experience in building and deploying applications with Azure, using third-party tools (e.g., Docker, Kubernetes and Terraform)

o Experience working with AKS clusters, VNETs, NSGs, Azure storage technologies, Azure container registries etc.

o Good understanding of building Redis, ElasticSearch, and MongoDB applications

o Preferably have worked with RabbitMQ

o E2E understanding of ELK, Azure Monitor, DataDog, Splunk and logging stack

o Experience with development tools, CI/CD pipelines such as GitLab CI/CD, Artifactory, Cloudbees, Jenkins, Helm, Terraforms etc.

o Understanding of IAM roles on Azure and integration / configuration experience

o Preferably working on Data Robot setup or similar applications on Cloud/Azure

o Functional, integration, and security testing; performance validation

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 (http://us.nttdata.com/en)

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