DLocal is seeking a Senior AI Engineer to lead the development of advanced machine learning models and AI-driven solutions for our innovative payment processing platform. Join our remote team in Brazil and drive the future of fintech with cutting-edge technology.

DLocal, a leading fintech company revolutionizing payments in emerging markets, is looking for a talented Senior AI Engineer to join our engineering team. In this role, you will design, develop, and deploy AI models that enhance fraud detection, customer personalization, and transaction optimization across our global platform.

You will collaborate with cross-functional teams including data scientists, product managers, and software engineers to integrate AI capabilities into our core systems. Responsibilities include architecting end-to-end AI pipelines, conducting research on state-of-the-art algorithms, and ensuring model performance and scalability in high-volume environments.

As a remote position based in Brazil, you will contribute to a dynamic, international workforce dedicated to innovation and excellence. If you are passionate about AI and eager to make an impact in the fintech space, apply now to be part of DLocal's growth story.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• 5+ years of experience in AI/ML engineering, with a focus on deep learning and natural language processing
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
• Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI models
• Strong knowledge of data pipelines, ETL processes, and big data technologies like Spark or Hadoop
• Proven track record of building scalable AI systems in production environments
• Excellent problem-solving skills and ability to work collaboratively in a fast-paced team
• Familiarity with fintech or payment systems is a plus

• Competitive monthly salary with performance bonuses
• Fully remote work setup with flexible hours
• Comprehensive health insurance and wellness programs
• Professional development opportunities, including conferences and certifications
• Stock options and equity participation
• Generous paid time off and parental leave
• Access to modern tools and technologies
• Collaborative and inclusive company culture