Senior Machine Learning Engineer

This is a hybrid position based in Malvern Pennsylvania. Candidates should be local to the Greater Philadelphia region and able to work onsite several days a week.

As part of a significant investment in Data & AI our client is expanding its engineering organization with two newly created Machine Learning positions. This role is focused on building the predictive intelligence that becomes part of the companys core SaaS platform.

This is a highly hands-on engineering opportunity for someone who enjoys solving real business problems with machine learning. Youll design build deploy and continuously improve production models that help financial institutions better predict customer behavior prioritize collections strategies and improve lending outcomes.

Working alongside Product Engineering Data and business leaders youll help transform large volumes of structured data into intelligent software capabilities that customers use every day. If you enjoy owning the entire machine learning lifecyclefrom feature engineering and model development through deployment monitoring and optimizationthis is an opportunity to make a measurable impact.

• Bachelors or Masters degree in Computer Science Data Science Engineering Mathematics or a related technical discipline.
• 3 years of experience designing developing and deploying production machine learning solutions.
• Strong Python and SQL development skills.
• Experience building predictive models using structured data.
• Experience with feature engineering model evaluation deployment and ongoing model monitoring.
• Experience working with cloud-based data platforms and modern machine learning frameworks.
• Familiarity with Azure Databricks MLflow MLOps or similar technologies.
• Experience collaborating with engineering product and business teams to deliver production-ready AI solutions.

• Financial services banking lending collections credit risk or fintech.
• Building scalable data pipelines and production machine learning systems.
• AI-assisted software development tools and modern engineering practices.
• Passion for solving complex business problems through data and machine learning.