About the role
As a Senior MLOps Engineer, you will take ownership of designing, building, and maintaining the infrastructure that powers our Generative AI framework. You will architect scalable, secure ML environments across development, testing, and production, while automating the entire ML lifecycle—from data ingestion and model training to deployment and monitoring. In this role, you will lead the design of CI/CD pipelines for ML workflows, ensuring reliability, reproducibility, and seamless integration of new models. You will implement advanced monitoring and observability systems to track performance, detect data drift, and maintain infrastructure health. Your expertise will also drive the development of robust tooling for model development, training, serving, and lifecycle management, enabling our teams to bring cutting-edge AI solutions into production at scale.