Machine Learning Engineer PL

Description

With over 40 years of history, we are pioneers and specialists in the payroll-deductible loan segment. We also offer fixed-income and variable-income investment products through Paraná Banco Investimentos. We provide secure and transparent loans for those seeking to pay off larger debts, invest in something meaningful, or fulfill a dream. Our purpose is to transform financial solutions into smiles! **So what makes us special?** * **We are passionate about smiles:** We strive for the best experiences for our customers, value people, and are passionate about our company. * **We are innovative and pursue simplicity:** We experiment, learn, and constantly think about continuous improvements. * **We are flexible and drive change:** We cultivate adaptability as a virtue, encouraging and promoting constant transformations to achieve the best in every journey. * **We are data-driven:** Our goals are clear—if we cannot measure it, we cannot do it. We are guided by efficiency and maximize the use of available resources. Our job openings are open to everyone—without distinction based on gender, race, color, age, sexual orientation, or ethnicity. Requirements: **What will your day-to-day look like?** * Support Data Scientists in developing Machine Learning models across various stages of the model lifecycle—including discovery, monitoring, and serving. * Develop SQL queries and Python programs for data ingestion and processing. * Develop functions and notebooks using SQL and Python, applying programming logic and object-oriented concepts. * Develop, maintain, and enhance the model deployment pipeline. * Ensure integration, security, and integrity of data used in feature development. * Build robust, scalable solutions that execute models correctly and align with corporate architecture, enabling other bank departments to consume them. * Execute unit tests on developed data products prior to production deployment. * Document data projects you work on clearly and concisely. **What do you need to know?** * Intermediate SQL (DQL, DML, and DDL commands). * Data extraction from files, APIs, and websites (web scraping). * Knowledge of ETL. * Git (push, pull, branches, merge, pull request, conflict resolution, code review). * Programming logic. * Intermediate Python: Object-oriented programming, library creation, decorators. * Spark. * Testing methodologies and techniques. * Containers (Docker). * Databricks. * Airflow. * Excel (mathematical functions, chart creation, pivot tables). * Kafka / Event Hub. * Relational databases (e.g., SQL Server). * NoSQL databases (e.g., MongoDB). * Azure DevOps. * MLFlow. * Intermediate architectural patterns (DW, DM, Data Lake, Lakehouse). * Cloud Computing: Azure. **We’d love it if you have:** * Databricks and/or Azure certifications. **Work model:** Employees residing in Curitiba and its metropolitan region: Hybrid. Call Center employees: On-site. Employees from other locations: Remote.