Job Summary: We are looking for an ML Engineer passionate about data and innovation to develop pipelines and deploy ML models using Google/Azure technologies. Key Highlights: 1. Implementing the agent layer on digital channels 2. Developing efficient ML pipelines and scalable data architectures 3. Managing the model lifecycle and monitoring performance **What will we build together?** * We are seeking a data- and innovation-driven professional with real business impact to join our Engineering team as an ML Engineer, focusing on implementing the agent layer across digital channels (website/app), leveraging Google technologies (Vertex AI) and/or Azure ML Stack; Your role will involve developing efficient ML pipelines and deploying machine learning models (neural networks, classification algorithms, regression) into production environments, as well as managing the model lifecycle, performing automated testing, and monitoring model performance. * **Responsibilities and Duties** * Develop scalable ML pipelines and agent-oriented data architectures to support Digital area products and decisions; * Work on the data backend, collaborating with business teams to design and implement efficient and secure solutions; * Build product-, business-, and performance-oriented data models; * Develop data orchestrations using tools such as Azure Data Factory and GCP; * Ensure quality, governance, and availability of models and/or agents. **Requirements and Qualifications** * Experience implementing ML models and the agent layer; * Experience in Data Modeling; * Knowledge of Azure, Databricks, Data Factory, and GCP; * Proficiency in SQL and Python/PySpark; * Knowledge of Data Lakehouse architecture; * Knowledge of Software Engineering; * Experience in DevOps; * Familiarity with Gen AI, LLMs, MLOps, and MLflow. **Additional Information** **Here’s what you’ll get:** * iFood Card (meal and food allowance); * Remote Work Allowance; * Health Insurance; * Dental Insurance; * Birthday Day Off; * Life Insurance; * Extended Maternity and Paternity Leave; * Educational Partnerships; * Total Pass Partnership – health and wellbeing; * Clude Saúde Partnership; * Reimbursement Programs; * Flexible Working Hours; * Dress Code: Be yourself. **** From home garage to the world: this is how DB’s story began. Founded with a desire for change, our purpose is to be a people-centered technology company built on collaboration, inclusion, and diversity. In 1993, we started as consultants for one of the major databases of that era—which gave us our original name, DBServer (Database Server)—and gradually evolved into today’s DB (Design + Build the future), a company driving change through innovation and humanity. We develop professionals who impact businesses through technology and innovation, flexibly and collaboratively participating in squads, consulting engagements, and training across all stages of the lifecycle—from Discovery to Delivery and ongoing support. ***A Focus on Diversity & Inclusion*** DB has established a journey marked by culturally significant milestones rooted in deep human meaning, integrated into our daily lives. With courage and empathy, collaboration, collective and community awareness, we are evolving toward a people-centered culture. We proudly foster a discrimination-free workplace. We believe that diversity of experience, perspective, and background enriches our work environment. We are committed to building this legacy—hand in hand with you! ***Learn about our Ethical Framework:******https://bit.ly/MarcoEtico***