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Tier-1 brand and metro location increase competition, but seniority and niche OpenShift MLOps skills moderate applicant density.
Requires specialized OpenShift, hybrid cloud, and MLOps expertise, limiting cross-industry transferability.
Explicit 15+ years and specialized OpenShift/AI platform expertise create very strict shortlisting filters.
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Lead design and implementation of OpenShift-based AI/ML platforms bridging DevOps and MLOps for scalable, resilient environments.
Advise clients on GPU orchestration, model serving, hybrid cloud AI, and sovereign AI strategy, focusing on high-performance AI workloads.
Drive automation and management of OpenShift clusters in hybrid environments with security compliance and developer experience improvements.
Minimum 15+ years of professional services/consulting experience.
Proven experience deploying OpenShift in production-grade, regulated, or air-gapped environments.
Strong understanding of AI/ML lifecycle and ability to translate data science concepts into technical architecture.
Not explicitly mentioned: formal degree requirements, location restrictions, or mandatory certifications.
Experienced consulting professional comfortable engaging from pre-sales to delivery and influencing technical and managerial stakeholders.
Deep expertise in OpenShift platform engineering, infrastructure as code, security (RBAC, network policies), and AI/ML orchestration with focus on enterprise use cases.
Able to provide strategic guidance on AI deployment including total cost of ownership and compliance for regulated industries (banking, healthcare, government).