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.

📌 Mlops Engineer (Guadalajara)
🏢 Metova Talent
📍 Guadalajara