Senior Mlops

Req ID 343712 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 Senior MLOps AIOps Platform Engineer to join our team in Chennai Tamil N du IN-TN India IN Job Summary We are seeking a Senior MLOps AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI ML platforms This critical role focuses on building configuring and operationalizing secure scalable and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise The ideal candidate will have a strong background in Infrastructure as Code IaC pipeline automation and platform engineering with specific experience configuring and maintaining IBM watsonx and Google Cloud Vertex AI environments Key Responsibilities Platform Engineering Operations Lead the provisioning configuration and ongoing support of IBM watsonx and Google Cloud Vertex AI platforms Ensure platforms are production-ready secure cost-efficient and performant across training inference and orchestration workflows Manage lifecycle tasks such as patching upgrades integrations and service reliability Partner with security compliance and product teams to align platforms with enterprise and regulatory standards Enterprise MLOps AIOps Enablement Define and implement standardized MLOps AIOps practices across business units for consistency and scalability Build and maintain reusable workflows for model development deployment retraining and monitoring Provide onboarding enablement and support to AI ML teams adopting enterprise platforms and tools Support development deployment of GenAI applications and maintain them at an Enterprise scale DevSecOps Integration Embed security and compliance guardrails across the ML lifecycle including CI CD pipelines and IaC templates Implement policy-as-code access controls vulnerability scanning and automated compliance checks Ensure all deployments meet enterprise and regulatory requirements HIPAA SOX FedRAMP etc Infrastructure as Code Automation Design and maintain IaC templates Terraform Pulumi Ansible CloudFormation for reproducible ML infrastructure Build and optimize CI CD pipelines for AI ML assets including data pipelines training workflows deployment artifacts and monitoring systems Enforce best practices around automation reusability and observability of infrastructure and workflows Monitoring Logging Observability Implement comprehensive observability for AI ML workloads using Prometheus Grafana Stackdriver or Datadog Monitor both infrastructure health CPU memory cost and ML-specific metrics model drift data integrity anomaly detection Define KPIs and usage metrics to measure platform performance adoption and operational health Qualifications Education Bachelor s or Master s degree in Computer Science Engineering or a related technical field Experience 5 years in MLOps DevOps Platform Engineering or Infrastructure Engineering 2 years applying DevSecOps practices secure CI CD vulnerability management policy enforcement Hands-on experience configuring and managing enterprise AI ML platforms IBM watsonx Google Vertex AI Demonstrated success in building and scaling ML infrastructure automation pipelines and platform support models Technical Skills Proficiency with IaC tools Terraform Pulumi Ansible CloudFormation Strong scripting skills in Python and Bash Deep understanding of containerization and orchestration Docker Kubernetes Experience with model lifecycle tools MLflow TFX Vertex Pipelines or equivalents Familiarity with secrets management policy-as-code access control and monitoring tools Working knowledge of data engineering concepts and their integration into ML pipelines Preferred Cloud certifications e g GCP Professional ML Engineer AWS DevOps Engineer IBM Cloud AI Engineer Experience supporting platforms in regulated industries HIPAA FedRAMP SOX PCI-DSS Contributions to open-source projects in MLOps automation or DevSecOps Familiarity with responsible AI practices including governance fairness interpretability and explainability Hands-on experience with enterprise feature stores model monitoring frameworks and fairness toolkits 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 Whenever possible we hire locally to NTT DATA offices or client sites This ensures we can provide timely and effective support tailored to each client s needs While many positions offer remote or hybrid work options these arrangements are subject to change based on client requirements For employees near an NTT DATA office or client site in-office attendance may be required for meetings or events depending on business needs At NTT DATA we are committed to staying flexible and meeting the evolving needs of both our clients and employees NTT DATA recruiters will never ask for payment or banking information and will only use nttdata com and talent nttdataservices com email addresses If you are requested to provide payment or disclose banking information please submit a contact us form NTT DATA endeavors to make accessible 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