Machine Learning Engineer

São Paulo

CloudWalk

Our mission is to create the best payment network on Earth. Then other planets.

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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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Architecture AWS CI/CD Deep Learning Django Docker Engineering FastAPI Finance FinTech Flask GCP Git Google Cloud Kafka Kubernetes LangChain LLMs Machine Learning MLFlow ML infrastructure ML models MLOps Pandas Physics Python PyTorch Scikit-learn SQL Testing

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere South America
Country: Brazil

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