CloudWalk, Inc.
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.
Payment Services • Blockchain
Data Scientist
December 12, 2024
CloudWalk, Inc.
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.
Payment Services • Blockchain
📋 Description
• Welcome to CloudWalk – a Brazilian fintech company that is on a mission to harness the power of AI to drive operational excellence. • Our team is responsible for building behavioral-based models and engaging in research-oriented projects towards evolutionary expert systems. • You will focus on building, training, and optimizing machine learning models to solve business problems such as fraud detection. • If you are passionate about data, algorithms, and applying research into real-world scenarios, this is the role for you.
🎯 Requirements
• Experience in building and deploying machine learning models. • Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). • Ability to work with LLMs • Experience with cloud-based environments like GCP • Experience in using data pipelines for model training and inference. • Knowledge of statistical techniques and model evaluation metrics.
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