• At least 5+ years of experience in Machine Learning Engineering
• Proficiency in Python and familiarity with Java
• Solid understanding of common machine learning models, including experience with frameworks like LightGBM and XGBoost
• Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis
• Knowledge of at least one neural network framework, such as TensorFlow
• Experience in building and maintaining data pipelines
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field
• Strong problem-solving skills and ability to work in a fast-paced environment
• Excellent communication and collaboration skills

Desirable

• Design, develop, and deploy machine learning models to detect and prevent fraudulent activities
• Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
• Optimize existing machine learning systems for performance and scalability
• Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows
• Conduct research and implement new machine learning techniques and methodologies
• Mentor junior team members and contribute to knowledge sharing within the team