Freddie Mac-posted 9 days ago
$127,000 - $191,000/Yr
Full-time • Senior
McLean, VA
5,001-10,000 employees

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. Our Impact: Our platforms are used across all business lines for Data Science development and deployment work as well as data exploration. This team is highly visible and works directly with emerging AI and ML technologies. Your Impact: You will design, develop and own product solutions from start to finish. On a day-to-day basis you will interact with data scientists to identify issues and new product solutions. You will continually be researching and testing new AI/ML tools and procedures to offer to offer to the wider company.

  • design, develop and own product solutions from start to finish
  • interact with data scientists to identify issues and new product solutions
  • researching and testing new AI/ML tools and procedures to offer to offer to the wider company
  • Bachelor’s degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline; or equivalent experience; advanced studies/degree preferred.
  • 5 years of hands-on experience managing AWS infrastructure through console and Infrastructure as Code (IaC)
  • Hands-on experience with AWS SageMaker and MLOps
  • 5 years of experience working python coding
  • 5 years of experience deploying application solutions
  • 3 years of experience with code repository GIT and Bitbucket
  • Demonstrated knowledge of infrastructure design principles
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