• Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.
• Lead the implementation of containerized ML workloads using Kubernetes.
• Collaborate with data scientist and engineers to productionize ML models.
• Automate model lifecycle management including versioning, rollback, and performance tracking.
• Ensure high availability, security, and compliance of ML systems.
• Develop infrastructure as code using tools like Terraform of Helm.
• Establish and enforce best practices for model governance and reproducibility.

• Education: Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience: 5+ years managing technology projects.

• Extensive experience with Kubernetes and container orchestration.
• Proficiency in Python and Bash scripting.
• Experience with ML frameworks such as TensorFlow, PyTorch, o Scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Knowledge of CI/CD tools and monitoring Systems.

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Spanish (required), English (required).

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• Experience with Kubeflow, MLflow, or similar platforms.
• Exposure to data versioning tools like DVC or LakeFS.
• Understanding of model explainability and compliance frameworks.
• Contributions to open-source MLOps projects.

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• Free Days for Quality Life
• Sickness and Paternity Leave
• Hospital Insurance and/or Medical Expenses Coverage
• Snacks in the dining area
• Playroom for relaxation and creativity
• Gamified culture to make work engaging and fun
• Virtual Store with perks and company souvenirs

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