MLOps & Agentic Platform Engineer (AI Infrastructure)

We are seeking a skilled MLOps & Agentic Platform Engineer to manage model registries, develop continuous training loops, and implement A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Requirements

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.