[Job-31614] Senior Machine Learning Engineer, Brazil

Lead MLOps initiatives, including model training, deployment, model serving, monitoring, and lifecycle governance. Develop and maintain ETL/ELT pipelines, DAGs, and data and Machine Learning workflows using PySpark. Design and manage enterprise Feature Stores, ensuring feature versioning, lineage, and consistency between training and inference.

Advanced experience with Databricks, including MLflow, Unity Catalog, Delta Lake, and Databricks Workflows. Strong experience developing, operationalizing, and monitoring Machine Learning models in production. Proficiency in Python, PySpark, SQL, and key Machine Learning ecosystem libraries.