Machine Learning Engineer

Description

Job Summary: Build the Machine Learning and MLOps infrastructure to develop, deploy, and maintain ML models in production following industry best practices. Key Highlights: 1. Promoting financial inclusion with over 9 million active users. 2. A work culture built on trust, purpose, and real-world impact. 3. Valuing creativity, curiosity, and effective communication. Hello! We are Cashea, and our mission is to restore Venezuelans' access to credit through a BNPL business model. Since our launch in 2022, we have dedicated ourselves to advancing financial inclusion. Today, we serve over 9 million active users — both consumers and merchants — and have become a trusted brand in Venezuela, winning minds and hearts. #### **Role Summary** Build the Machine Learning and MLOps infrastructure that enables Data Scientists to develop, deploy, and maintain Machine Learning models in production following industry best practices. Responsible for creating tools, SDKs, and automated pipelines ensuring reproducibility, observability, and model governance, with emphasis on self-service and ML team autonomy. Includes productization and continuous improvement of complex models (e.g., Bayesian, ensemble) to enterprise-grade quality standards. #### **Responsibilities** * Perform ad-hoc data analysis and present actionable insights to the team. * Implement and maintain monitoring and alerts for critical metrics. * Develop and deploy dashboards enabling optimization of key metrics. * Collaborate within the squad to design and implement analytical solutions addressing business needs. * Translate squad requirements into data models and transformations within the data warehouse. * Coordinate with Data Engineering and other squads to ensure data quality, consistency, and availability. #### **Requirements** * 5+ years of experience in Data Science, Machine Learning, or MLOps * 2+ years working with MLOps tools in production (registry, tracking, model serving, monitoring, versioning) * Experience building internal Python SDKs/libraries * Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) * Ability to understand Bayesian models, deploy them in production using best practices, and improve them * Technical: + Advanced Python (packaging, testing, documentation) + MLflow (registry, tracking server, model serving, artifacts) + Bayesian models (PyMC, Stan, or similar) \- productization and optimization + Basic Docker & Kubernetes + Git & GitHub/GitLab workflows + REST APIs design & development + Cloud platforms (GCP preferred, AWS/Azure acceptable) * Soft Skills: + "Internal tooling" mindset (designing for fellow developers) + Clear and comprehensive documentation (technical writing) + Effective communication with Data Scientists (understanding their pain points), ownership and autonomy #### **Why You’ll Love Working at Cashea** At Cashea, we foster a work culture rooted in trust and purpose. If you’re wondering why we’re a great choice, here are our core values: * We don’t operate on autopilot. Everything we do is intentional. We love crafting ideas with full awareness of their potential impact on our users. * Your creativity and curiosity are your most valuable assets. * Your voice matters. We listen and make space for ideas and feedback. Everyone belongs — and what’s important to you is important to us too. * We value transparency. Clarity keeps us connected and grounded. * Last but not least, we focus on real-world impact. If you’d like to join us, please complete the application. We’d love to meet you!