At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

POSITION OVERVIEW:

Our team builds and manages the AWS infrastructure that supports Model (ML) development across the company. Our platforms run on Kubernetes and leverage AWS tooling to provide highly scalable and dynamic platform features used by data scientists daily. You will directly drive the results for the team and own components of the platform from design through deployment.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline
• 2-4 years of progressively responsible experience in a software engineering occupation.
• 2-4 years of experience working with Java, JavaScript, python, HTML and CSS;
• 2-4 years of experience working with Cloud Technologies (AWS, Kubernetes, Docker, or similar container technologies);
• 2-44 years of experience deploying application solutions;
• 3 years of developing experience with REST APIs;
• 3 years of experience with code repository GIT and Bitbucket; and,
• Demonstrated knowledge of software design principles.

• Demonstrate a strong desire to learn new technologies and tools in the AI/ML space
• Quickly identify solutions to issues raised by Data Scientists
• Have a strong understanding of the varies AWS components needed to run AI/ML infrastructure
• Ability to help junior team members grow their knowledge and abilities