Especialista em Machine Learning Engineering - MLOps | Data Science

Be the main responsible for the MLOps pipeline, leading its construction, evolution, and end-to-end operation. Ensure the quality of models in production by acting as a guardian of Machine Learning standards, including reliability, testing, documentation, and SLAs. Design and maintain data and ML pipelines from training to deployment and monitoring in production, ensuring they are modular, versioned, and reproducible.

Bachelor's or master's degree in Computer Science, Data Science, or related fields. Proven experience with MLOps and Machine Learning Engineering, including building MLOps pipelines. Solid experience with Databricks, Python, and PySpark, as well as data and ML pipelines, CI/CD tools, and Azure.

The position offers a hybrid work arrangement with three days in the office per week. Candidates must reside in São Paulo. The company promotes a culture aligned with its values and seeks individuals who fit this ethos.