Remote Machine Learning Engineer

Description:

• As a Machine Learning Engineer, your mission is to design and deploy intelligent systems that power core product experiences.
• You will 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.
• You will join the AI team, focused on ambitious, high-impact projects beyond day-to-day urgencies.
• You will work across a spectrum of machine learning solutions, from traditional ML models to agentic systems.
• Collaboration is key, as you will work 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.
• You will 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.
• The ideal candidate will have the curiosity of a researcher, the mindset of a builder, and the maturity to own both problems and outcomes.

Requirements:

• You must have the initiative to learn, investigate, and experiment.
• You should be able to communicate and debate in both English and Portuguese.
• Excellent problem-solving and communication skills are required.
• Strong programming skills in Python and experience with common data science libraries (e.g., pandas, scikit-learn) are necessary.
• You need 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 is required.
• A solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD, is essential.
• You should have experience with cloud platforms such as AWS or Google Cloud.

Benefits:

• You will have the opportunity to work with a multidisciplinary team that values exploration and curiosity.
• The role offers the chance to work on diverse projects, including Credit Models, LLMs agents, and more.
• You will be part of an AI-first fintech company that is focused on bringing justice to the payment system in Brazil.
• The company promotes a welcoming work environment that values diversity and inclusion, allowing each employee to be authentic.
• You will have access to the latest technologies and best practices in machine learning and MLOps.