Posted:15 hours ago|
Platform:
On-site
Full Time
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.
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.
TEKsystems
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