Job Summary: The PicPay is seeking a Machine Learning Engineer to scale and industrialize the use of Data Science by developing a robust, abstracted, and scalable ML platform. Key Highlights: 1. Focus on building a data-driven culture with decisions grounded in data. 2. Development of a robust and scalable Machine Learning platform. 3. Support and guidance to Data Science teams and business units. **About PicPay** With over ten years of history, PicPay is a comprehensive ecosystem of financial and non-financial services designed to meet the daily needs of millions of individuals and businesses, becoming their primary everyday account. Founded in Vitória (ES), the company already serves over 35 million active customers and belongs to the J&F Group—one of Brazil’s largest corporate conglomerates. The company operates across multiple areas, including Financial Services for Individuals, Financial Services for Businesses, Investments, and PicPay Shop. Guided by our culture, we strive to empower millions of Brazilians with greater energy and momentum in life. Learn about our values: Ownership Mindset, Discipline, Determination, Availability, Simplicity, Humility, and Candor. *Respect, ethics, pursuit of equity, and appreciation of diversity are non-negotiable principles and part of our daily practice at PicPay. Therefore, this position is open to all individuals, regardless of gender, religion, ethnicity, disability, age, sexual orientation, or any other factor.* **Job Description:** We focus on cultivating a data-driven culture where all decisions are genuinely grounded in high-quality data. As a Machine Learning Engineer at PicPay, your role is to scale and industrialize the use of Data Science by developing a robust, abstracted, and scalable Machine Learning platform. We are passionate about data and relentlessly pursue innovation and expansion of our technological and operational boundaries. **Responsibilities and Duties:** A Machine Learning Engineer will be responsible for deploying ML models, aiming to develop a unified ML platform capable of supporting diverse use cases. This includes creating and implementing tools for business unit teams, as well as guiding data scientists and other profiles who may use the platform. You will also collaborate with peers to disseminate knowledge of best practices. **Your main responsibilities will include:** * Participating in the implementation of tools and features within platforms to abstract and optimize various stages of the ML model development process (data prep pipelines, training, versioning, documentation, deployment, monitoring); * Supporting the Data Science team in exploring new technologies (libraries, frameworks, etc.); * Supporting the Data Science team in applying best practices for developing machine learning model projects (code quality, standardization, versioning, documentation, monitoring, etc.). **Requirements and Qualifications:** * Knowledge of Software Engineering; * Solid programming experience (Python is essential; Go, etc.); * Knowledge of DevOps culture (infrastructure as code, CI/CD, serverless, etc.); * Understanding of Data Science projects and their particularities; * Solid experience with data tools and frameworks (Airflow, Spark, Pandas, etc.); * AWS (Lambda, EC2, EMR, S3, MWAA, Lake Formation, DynamoDB, Glue); * Solid experience with ML tools and frameworks (MLFlow, SageMaker, etc.); * Experience with Agile methodologies; * Strong verbal and written communication skills; * Intermediate English proficiency. **Nice-to-have qualifications:** * Proven track record of participation in projects and teams using the techniques and technologies listed above (or equivalents); * Experience in software architecture; * Participation in open-source projects; * Experience with functional programming. **What We Offer:** **Health and Well-being** * Medical and Dental Insurance; * Life Insurance; * “Lado a Lado” Program—offering legal, social, psychological, and financial support; * Wellhub. **Meals/Mobility or Remote Work:** * **PicPay Benefits** credit card, widely accepted, through which you receive your meal/food and mobility or remote work allowance (based on your employment contract). **Parental Leave:** * Extended maternity leave of 6 months and extended paternity leave of 20 days. * “Novo Ser” Program, supporting our mothers throughout pregnancy and upon return from maternity leave. Speaking of which, upon returning from maternity leave, mothers receive **Childcare Assistance**, and fathers with sole or shared custody are also eligible. **Recognition of Results: PPR—** PicPay Profit Sharing Program. #VemserPicpayLover #Picpay #LI-Remote