🛠 Tech Stack

💼 About This Role

You'll develop and optimize machine learning models to detect and prevent fraud for a fintech ecosystem. You'll bridge the gap between theoretical data science and scalable solutions in risk management. This remote role offers the chance to work on large-scale datasets and sophisticated algorithms.

🎯 What You'll Do

• Develop and optimize machine learning models for fraud detection.
• Analyze large-scale datasets to extract actionable insights.
• Implement data-driven strategies to enhance risk management.
• Collaborate with risk analysts and software engineers.

📋 Requirements

• Fluency in Python and SQL.
• Proficiency in ML libraries like Scikit-learn, PyTorch, or TensorFlow.
• Experience with Google Cloud Platform cloud services.
• Ability to communicate effectively in English and Portuguese.

✨ Nice to Have

• Experience with financial or payment industry.
• Knowledge of distributed systems and parallel computing.
• Understanding of DevOps practices including CI/CD and containerization.

📨 Hiring Process

Online technical assessment, technical interview, cultural interview.