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AWS Infrastructure Engineer Data Science – Senior

Job in McLean, Fairfax County, Virginia, USA
Listing for: Freddie Mac
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 127000 - 191000 USD Yearly USD 127000.00 191000.00 YEAR
Job Description & How to Apply Below

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.

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 the wider company.

Qualifications
  • 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 Sage Maker 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.
Keys to Success in this Role
  • 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 various AWS components needed to run AI/ML infrastructure.
  • Ability to help junior team members grow their knowledge and abilities.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This position has an annualized market-based salary range of $127,000 – $191,000 and is eligible to participate in the annual incentive program.

Freddie Mac

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Position Requirements
10+ Years work experience
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