We are seeking a skilled MLOps & Agentic Platform Engineer.
This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure.
The ideal candidate will have a solid DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.
Responsibilities: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.Qualifications:Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
Experience with MLflow, Weights & Biases, or LangSmith.Knowledge of building scalable microservice architectures.