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MLOps Engineer at Metova. A leading company in Mexico specializing in accounting software is looking for a highly skilled MLOps Engineer to join the team.. REQUIREMENTS. :. . 4+ years of experience in DevOps, Data Engineering, or MLOps.. . Fluent technical English.. . Practical experience with MLOps tools such as MLflow, Kubeflow, Metaflow, SageMaker, or Vertex AI.. . Experience managing cloud infrastructure on AWS, GCP, or Azure.. . Experience configuring and maintaining distributed training environments with GPUs.. . Experience with tools such as Ray, Flyte, Apache Airflow, or Prefect (Nice to Have).. . KNOWLEDGE AND SKILLS:. . Advanced knowledge of Docker, Kubernetes, Helm, and CI/CD (GitHub Actions, GitLab CI, Jenkins).. . Knowledge of data storage and versioning (DVC, LakeFS, DeltaLake). . . Familiarity with event-driven architectures, microservices, and REST/gRPC APIs.. . Knowledge of Alibaba Cloud and its ecosystem for AI/ML (PAI, ACK, OSS, etc.) (Nice to Have).. . . RESPONSABILITIES. :. . Design and implement pipelines for training, validating, and deploying machine learning models (CI/CD for models). . . Manage and optimize infrastructure for distributed training, parallel processing, and efficient storage. . . Collaborate with Data Scientists to operationalize experimental notebooks and turn them into productive services. . . Integrate models with APIs and backend architectures, ensuring performance and security.. . Define standards for reproducibility, validation, and automated testing throughout the ML lifecycle.. . Company Location: Mexico.