Lead ML Platform Engineer (SRE / FTE / Onsite)

NTT
Charlotte
Workplace: OnsiteFull timeUSD 83,520 - 125,280 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Technical leadership","Mentoring","Architecture reviews","Code reviews","Stakeholder communication"]

Lead the architecture and hands-on engineering for a secure, scalable Cortex Predictive AI/ML platform across cloud and on-premises. Own the end-to-end ML lifecycle platform services—from governed data/feature access and MLOps workflows to training, deployment, and real-time/batch inference—while building CI/CD and infrastructure automation. Drive observability, reliability, incident readiness, and security controls, and mentor teams through reusable standards, templates, and documentation.

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FursaFursa
NTT
NTT
5 days ago

Lead ML Platform Engineer (SRE / FTE / Onsite)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead the architecture and hands-on engineering for a secure, scalable Cortex Predictive AI/ML platform across cloud and on-premises. Own the end-to-end ML lifecycle platform services—from governed data/feature access and MLOps workflows to training, deployment, and real-time/batch inference—while building CI/CD and infrastructure automation. Drive observability, reliability, incident readiness, and security controls, and mentor teams through reusable standards, templates, and documentation.
Location: Charlotte
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Define and lead target predictive AI/ML platform architecture across public cloud and on-premises environments.
  • •Design, build, and operate reusable platform services for the end-to-end ML lifecycle, including governed data/features, training/validation, deployment, inference, and operations.
  • •Lead Kubernetes-based ML platform engineering using GKE, OpenShift, and container/workload orchestration capabilities.
  • •Implement MLOps and delivery automation, including experiment tracking, model registry integration, validation/approval gates, rollback, and lifecycle management.
  • •Drive observability and reliability practices for production operations, including logs/metrics/traces, SLI/SLOs, incident response, and operational runbooks.

Pay and Benefits

Salary: USD 83,520 - 125,280 annually
Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •8+ years of experience in platform engineering, cloud engineering, infrastructure engineering, SRE, MLOps, or related roles.
  • •4+ years designing, building, or operating enterprise AI/ML or data platforms.
  • •Demonstrated experience leading architecture and engineering delivery for complex, production-grade cloud and/or on-premises platforms.
  • •Strong hands-on experience with GCP and working knowledge of multi-cloud or hybrid-cloud architecture.
  • •Experience implementing MLOps and model lifecycle workflows/platform services, including CI/CD, Git-based development, and infrastructure automation.
Skills:Technical leadershipMentoringArchitecture reviewsCode reviewsStakeholder communication
Tech Stack:GCPGKEOpenShiftKubernetesPythonCI/CDGitTerraformHelmArgo CDJenkinsGitHub ActionsGitLab CIVertex AIAPI-based servingObservabilityEncryption

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn