Senior ML Platform Lead (SRE, Cloud)
NTT DATA, Inc.
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Benefits offered by this job
Job summary
NTT DATA Services in Charlotte, NC invites an experienced Lead ML Platform Engineer to lead architecture and engineering for the Cortex Predictive AI Platform across cloud and on‑prem environments.
You will mentor teams, drive MLOps capabilities, and define scalable reference architectures, with strong focus on security, observability, and reliable model delivery.
Proficiency in Python, Kubernetes (GKE/OpenShift), CI/CD, and data governance will be essential to succeed in this onsite role.
Qualifications
- 8+ years of platform/SRE/MLOps related experience.
- 4+ years designing, building, or operating enterprise AI/ML or data platforms.
- Strong hands-on experience with GCP and multi-cloud/hybrid-cloud architectures.
- Proficiency in Python for automation and tooling.
Responsibilities
- Define and lead the target architecture for predictive AI and ML platform capabilities spanning public cloud and on-premises environments.
- Design, build, and operate reusable platform services for end-to-end ML lifecycle including data, training, deployment, and monitoring.
- Establish scalable reference architectures, engineering standards, and templates for ML workloads across Cortex portfolio.
- Lead platform engineering for GCP and multi-cloud environments and ensure secure connectivity, IAM, and governance.
Skills
Tools
Job description
NTT DATA Services in Charlotte, NC invites an experienced Lead ML Platform Engineer to lead architecture and engineering for the Cortex Predictive AI Platform across cloud and on‑prem environments.
You will mentor teams, drive MLOps capabilities, and define scalable reference architectures, with strong focus on security, observability, and reliable model delivery.
Proficiency in Python, Kubernetes (GKE/OpenShift), CI/CD, and data governance will be essential to succeed in this onsite role.
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