Senior ML Platforms Engineer
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Wizeline in CDMX is seeking an experienced ML Engineer/MLOps lead to architect end-to-end ML platforms and deploy models at enterprise scale. You will drive CI/CD with Azure Pipelines, MLflow, and Databricks, build governance, monitoring, and feature-registry strategies, and mentor other engineers.
You should have 5–8+ years in ML engineering, strong Spark, Databricks, Kubernetes, and Docker expertise, and the ability to operate across hybrid/multi-cloud environments.