MLOps & Agentic Platform Engineer (AI Infrastructure)

<p>We are seeking a skilled MLOps &amp; 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 strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.</p> <p>&nbsp;</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Manage model registries, continuous training loops, and A/B testing infrastructure.</li> <li>Deploy agents as scalable microservices on Kubernetes.</li> <li>Build observability dashboards to track token usage, latency, and agent reasoning paths.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li>Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).</li> <li>Experience with MLflow, Weights &amp; Biases, or LangSmith.</li> <li>Knowledge of building scalable microservice architectures.</li> </ul> <p>&nbsp;</p>