MLOps Engineer

The MLOps Engineer role involves developing, productionizing, and deploying cutting-edge AI and ML solutions within client environments, both cloud and on-premises. This position requires building and operationalizing infrastructure models, including Kubernetes clusters, GPU management, and CI/CD pipelines, while designing ML pipelines for feature extraction, training, and deployment at scale. The engineer will work in cross-functional agile teams to ensure enterprise-grade rigor, observability, and security while mentoring teammates on software delivery excellence and AI-native engineering practices.