CloudWalk, Inc.
Fintech • Blockchain • Artificial Intelligence
CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.
Data Scientist
October 17
🗣️🇧🇷🇵🇹 Portuguese Required
CloudWalk, Inc.
Fintech • Blockchain • Artificial Intelligence
CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.
đź“‹ Description
• Design, develop, and deploy machine learning models for fraud detection and behavioral analysis. • Collaborate with cross-functional teams, including data engineers, product managers, and software engineers, to integrate models into production. • Research and implement new machine learning algorithms and techniques to advance current models. • Monitor model performance in production and optimize for scalability and efficiency. • Stay current with the latest trends in machine learning and data science to drive continuous innovation within the team.
🎯 Requirements
• Experience building and deploying machine learning models. • Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). • Experience working with large language models (LLMs). • Experience with cloud-based environments, preferably Google Cloud Platform (GCP). • Experience using data pipelines for model training and inference. • Solid knowledge of statistical techniques and model evaluation metrics. • Experience with fraud detection and risk analysis projects in financial services. • Experience with advanced architectures such as LLMs, Graph Neural Networks (GNNs), or other deep learning models. • Experience developing scalable data science solutions for real-time applications. • Familiarity with GCP services for machine learning and model deployment.
🏖️ Benefits
• Candidates must be willing to complete an online or take‑home assignment; applicants unwilling to do so should not apply.
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