Top Fintech Machine Learning Engineer Jobs

As a Machine Learning Engineer at PayPal, you will develop and optimize ML models, analyze datasets, deploy solutions, and collaborate across teams to enhance product search capabilities.

The Machine Learning Engineer will develop, optimize, and integrate ML models and systems focusing on KYC/KYB processes, while ensuring compliance and performance optimization in a dynamic environment.

Conduct model development and implementation for risk models, support sales initiatives, analyze transaction data with big data technologies, and promote analytics education at Visa.

Assist in building data transformation components and deploying machine learning models while collaborating with internal stakeholders on analytics solutions.

As a Sr. Associate ML Engineer, you'll develop AI solutions for payroll processing, leveraging massive datasets to enhance user experience and efficiency.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

As an Applied Scientist, you will design and implement machine learning models, develop personalized systems, and enhance decision-making through AI technology to improve user experience and business operations.

Designs, develops, and deploys machine learning models and scalable data pipelines in production. Performs data discovery, quality analysis, model monitoring, and optimization. Collaborates with data science and business stakeholders to translate requirements, document features, and implement SDLC best practices to drive automated, scalable AI solutions.

Design and deploy machine learning solutions for credit risk and fraud management, collaborating with stakeholders to optimize model performance and maintain governance of the model lifecycle.

The AI/ML Engineer designs and deploys production AI applications, leads technical design of AI systems, and collaborates with cross-functional teams.