Agile Development Senior

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: Are you someone who thrives in a highly visible, fast-paced data science environment? Do you have a deep understanding and passion for excellence in technology, especially in supporting data-driven solutions and meeting delivery timelines? If you have proven experience, the drive, and know what it takes to help teams successfully implement innovative, fast-to-market data science products, we are your next destination employer! Apply to join Freddie Mac’s Single-Family Acquisitions AI/ML Enablement team. We are seeking a talented software developer or machine learning engineer with expertise in modern delivery practices, distributed data processing, and advanced machine learning frameworks—including generative AI. In this role, you will support data scientists in running machine learning experiments, developing and deploying models, and leveraging generative AI to solve complex business challenges within the Single-Family division. Our Impact: Freddie Mac’s Single-Family Line of Business is in the throes of a major digital modernization and transformation. We are changing the way we work every day. Provide efficient software and data-driven solutions for business requirements. Assist data scientists in running machine learning experiments and optimizing their workflow. Help support teams to analyze and resolve business raised incidents, including those related to data and machine learning models. Your Impact: You will be a key executor to the team, as a machine learning engineer, you will be assisting data scientists in their research and development work in building data pipelines, developing and deploying machine learning models, and taking on responsibilities across the entire data and ML stack. You will be contributing across several other technical activities such as data engineering, model development, deployment, MLOps, and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software and data challenges related to R&D work by Single-Family data scientists.