Mlops Architect - AI Platform & Pipeline Ops (US Remote)

MLOps Architect - AI Platform & Pipeline Ops

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 MLOps Architect - AI Platform & Pipeline Ops (US Remote) to join our team in Plano, Texas (US-TX), United States (US).

Key responsibilities:

• Build and maintain ML pipelines for training, validation, deployment, and monitoring
• Implement CI/CD for ML artifacts, including data versioning and model registries
• Monitor model performance and drift; trigger retraining workflows as needed
• Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services
• Collaborate with data, ML, and ops teams to deliver frictionless MLOps lifecycle

Required Skills:

• Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
• Proficiency in Python, Bash, Docker, and Kubernetes
• Familiarity with cloud infra (AWS/GCP/Azure) and IaC (Terraform, CloudFormation)
• Experience in model monitoring, logging, and alerting
• Bonus: experience in BPS/regulated domains with compliance-aware deployment

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.