Talent, a fintech leader, is seeking a Senior MLOps Engineer to join its growing ML team in a hybrid role (3 days onsite). You'll build and scale cloud-native MLOps infrastructure that enables data scientists to deploy real-time models into production, working with data science, engineering, and product teams.
Ideal candidates have 5+ years in MLOps/ML engineering, hands-on AWS, Docker, Kubernetes, CI/CD, and experience with MLflow or Kubeflow.
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