Top Financial Services Machine Learning Engineer Jobs in New York City, NY

Design and validate machine learning models for financial crime compliance, improve data pipelines, and analyze large datasets to mitigate risks in the crypto and fiat ecosystems.

As an AWS Machine Learning Consultant, you'll deliver ML solutions, collaborate with clients, and support internal brand development through thought leadership, requiring expertise in AWS services and ML frameworks.

This role involves collaborating on data solutions, developing Python tools for portfolio analysis, applying machine learning techniques, and creating dashboards.

The Research Engineer will develop scalable infrastructure for machine learning research, optimize workflows, and enhance model inference for trading systems.

AI Residents will develop machine learning algorithms, engage in research, and collaborate with quantitative teams to drive innovation in finance.

Develop AI/ML models for credit risk in lending products, collaborating with teams to optimize data strategies and ensure model compliance.

As an Applied Science Intern at Ramp, you'll manage machine learning projects, collaborate with teams, and apply AI techniques to solve business problems.

The Principal Machine Learning Engineer will lead the development and deployment of ML solutions, mentor engineers, and ensure integration with business processes while adhering to compliance standards.

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

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.