MLOps Lead

Own model deployment and observability blueprints.

description: Own model deployment, observability, and automation blueprints that keep AI workloads resilient in production.

• Design CI/CD templates for data pipelines, model training, and inference
• Define infrastructure reference stacks spanning containers, GPUs, and edge
• Implement monitoring for drift, bias, data freshness, and SLA adherence
• Collaborate with SRE and security on access control and compliance
• Document runbooks, release gates, and rollback mechanisms

• 7+ years in DevOps/SRE with 4+ years focusing on MLOps
• Deep knowledge of Kubernetes, Argo, Terraform, and observability suites
• Experience orchestrating training pipelines on managed and self-hosted GPUs
• Familiarity with model registries, feature stores, and experiment tracking
• Strong scripting skills (Python, Go, or Bash) and automation mindset

Skills: Kubernetes, Argo, Terraform, MLOps, CI/CD, Python, GPU Orchestration, Monitoring

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