Top Fintech Machine Learning Jobs

The role involves building fraud prediction models using machine learning techniques, collaborating with cross-functional teams, ensuring data integrity, and driving a data-driven culture.

The role involves leveraging data science techniques and machine learning to drive business solutions, enhance data applications, and collaborate with stakeholders and data engineers.

Lead the development of AI systems, design intelligent applications, integrate LLMs with vector databases, and optimize AI workflows for enterprise solutions.

As an Engineer I - AI, you will build and support AI/ML components, integrate AI models, and collaborate with teams to enhance intelligent systems at Frost.

Lead the development and deployment of machine learning systems, collaborating with teams to enhance performance and scalability, while optimizing data pipelines and models.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

The Senior AI/ML Engineer will design and implement AI-driven data pipelines, optimize model performance, integrate large language models, and mentor junior engineers.

Lead machine learning efforts to enhance customer onboarding and product adoption through data analysis, model development, and cross-functional collaboration.

The Machine Learning Engineer will manage the end-to-end ML lifecycle, collaborate with cross-functional teams, develop production models, and monitor their performance in high-stakes environments.

The role involves data analysis, modeling, and advanced analytics to support business decisions by designing predictive models and automating processes through AI and machine learning.