Machine Learning Eng. (Sr.) - Azure + Databricks

Description

Job Summary: We are seeking a Senior Machine Learning Engineer to develop, implement, and operationalize scalable ML models and integrate data pipelines. Key Highlights: 1. Development and operationalization of Machine Learning models 2. Collaboration with Data Science and Data Engineering teams 3. Contribution to the evolution of the Machine Learning architecture **Job Code:** 1513 ### **Company** ### **Area(s) of Operation** IT \- Development/Programming ### **Job Description** Duration: 6 months, with possible extension based on performance. 100% remote ### **Requirements** * We are looking for a Machine Learning Engineer to join the squad — Data Books \- Analytical Models. You will be responsible for developing, implementing, and operationalizing scalable machine learning models, ensuring high performance and efficient integration with data pipelines. **Responsibilities** * Implement machine learning models using Databricks. * Integrate models into data pipelines, ensuring that data books correctly feed inference systems. * Work with Unity Catalog to ensure governance and security of data used in models. * Collaborate with Data Science and Data Engineering teams. * Automate training, validation, and production deployment processes for models. * Monitor model performance in production and implement continuous improvements. * Document processes, models, and results to ensure transparency and reproducibility. * Contribute to the evolution of the company's machine learning architecture. **Requirements** * Solid experience in developing and deploying machine learning models in production environments. * Advanced knowledge of Python, MLFlow, and Databricks. * Experience with Unity Catalog for data governance and security. * Proficiency in programming languages such as Python and ML frameworks (e.g., scikit\-learn, TensorFlow, PyTorch). * Familiarity with data pipelines and continuous integration (CI/CD) for models. * Strong communication skills and proactivity. * **Location** São Paulo \- SP * **Work Mode**Remote * **Professional Level** Consultant / Senior Developer * **Minimum Academic Qualification** Completed Bachelor's Degree * **Contract Type** PJ