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Machine Learning Engineer at CloudWalk. Location Information: São Paulo. As a Machine Learning Engineer, your mission is to design and deploy intelligent systems that power core product experiences. You'll transform rich data into models that drive automation, personalization, and smart decision-making at scale. This role blends engineering and applied science, focused on building robust, adaptive ML systems that evolve continuously and make a tangible impact.. About the Role:. . . You’ll join our AI team, focused on ambitious, high-impact projects beyond day-to-day urgencies.. Work across a spectrum of machine learning solutions—from traditional ML models to agentic systems.. Collaborate closely with a distributed, cross-functional team of Engineers, Data Scientists, and Analysts in a culture that values open discussion, intellectual honesty, and creative problem-solving.. Experiment with emerging techniques and architectures to push the boundaries of real-world AI capabilities.. Working remotely, autonomy is essential—but so is communication and a shared commitment to building meaningful, intelligent systems.. We look for people with the curiosity of a researcher, the mindset of a builder, and the maturity to own both problems and outcomes.. . About CloudWalk:. . . CloudWalk is an AI-first fintech building its own technology to bring justice to the broken payment system in Brazil.. Some people say a company is a unicorn when it reaches a valuation of over 1 billion dollars. We are one of those companies, and that's nice, but not the most important thing.. We work in the finance sector, a very traditional niche, but we try to do things differently.. . The AI team:. . . We love data and technology—and you’ll have plenty of both to work with.. We enjoy simple solutions that work, no overcomplication.. We are a multidisciplinary team with backgrounds that includes engineering, physics, architecture and more.. The projects we work on are as diverse as our backgrounds: Credit Models, LLMs agents, Growth, Products and so on.. We value exploration before exploitation—curiosity comes first.. . What you'll do:. . . Design, build, and maintain scalable and reliable machine learning infrastructure.. Deploy and monitor machine learning models for real-time inference.. Develop and maintain robust REST APIs for our machine learning services.. Collaborate with data scientists to productionalize their models and algorithms.. Write clean, maintainable, and well-tested production code.. Optimize and improve the performance of our machine learning systems.. Stay up-to-date with the latest technologies and best practices in machine learning and . MLOps. .. . What you'll need:. . . Initiative to learn, investigate, experiment.. Ability to communicate and debate in English and Portuguese.. Excellent problem-solving and communication skills.. Strong programming skills in Python and experience with common data science libraries (e.g., pandas, scikit-learn).. Experience in building and deploying REST APIs using frameworks like Flask, FastAPI, or Django.. Experience with containerization technologies like Docker and orchestration tools like Kubernetes.. Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.. Experience with cloud platforms such as AWS or Google Cloud.. . Bonus points if you have:. . . Experience with MLOps tools and platforms (e.g. MLflow).. Experience with real-time data processing frameworks (e.g. Kafka).. Experience as a Machine Learning Engineer, Data Scientist, Data Engineer, or in a similar role.. Experience with deep learning frameworks like . PyTorch. .. Great SQL skills.. Agentic frameworks like LangChain.. . Recruiting process outline:. . . Online assessment: an online test to evaluate your theoretical skills and logical reasoning.. Case: a technical project where you'll deploy a machine learning model for real-time inference.. Technical interview and case presentation.. Cultural interview.. If you are not willing to take an online quiz and work on a test case, do not apply.. Diversity and inclusion:We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education..