MLOps Engineer (Java)

Job TitleDesign and implement scalable model serving platforms for both batch and real-time inferenceBuild model deployment pipelines with automated testing and validationDevelop monitoring, logging, and alerting systems for ML servicesCreate infrastructure for A/B testing and model experimentationImplement model versioning and rollback capabilitiesDesign efficient scaling and load balancing strategies for ML workloadsCollaborate with data scientists to optimize model serving performanceTechnical Requirements:7+ years of software engineering experience, with 3+ years in ML serving/infrastructureStrong expertise in container orchestration (Kubernetes) and cloud platformsExperience with model serving technologies (TensorFlow Serving, Triton, KServe)Deep knowledge of distributed systems and microservices architectureProficiency in Java and experience with high-performance servingStrong background in monitoring and observability toolsExperience with CI/CD pipelines and GitOps workflows