Freddie Mac · 6 hours ago
Data Scientist / ML Engineer Gen AI
McLean, VA
Full-time
Onsite
Senior Level
$144K/yr - $216K/yr
5+ years expFreddie Mac is a leading organization focused on making home possible for millions of families. They are seeking a hands-on Data Scientist / ML Engineer to lead the design, development, and deployment of innovative AI/ML solutions, focusing on Generative AI and Agentic AI for the Enterprise Risk organization.
FinanceFinancial ServicesRisk Management
Responsibilities
Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model/LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement
Design, build, and maintain robust, scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data
Implement RAG pipelines using vector databases and embedding strategies to ground LLMs in proprietary enterprise data; fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks; design and orchestrate Agentic workflows including tool-using agents, multi-step planners, guardrails, and alignment mechanisms
Establish robust evaluation frameworks (hallucination checks, calibration, bias/fairness, adversarial tests), logging/telemetry, safeguards, governance artifacts, and documentation for model risk management
Lead the end-to-end lifecycle of AI models, from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP)
Optimize inference latency, throughput, and cost; establish monitoring and observability to ensure performance, safety, and reliability in mission-critical environments
Work closely with AI engineers, software engineers, product managers, and business stakeholders to translate complex business problems into AI-native solutions with measurable impact
Qualification
Required
Bachelor's or equivalent experience; advanced studies/degree preferred. Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
5+ years of experience in designing and deploying production-grade AI/ML solutions, including at least one production LLM agent or Agentic workflow
Deep expertise in Python and SQL, with 3+ years of experience in data science and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch)
3+ years of proven experience with cloud-native development and data warehousing solutions (Snowflake, Azure Data Lake, AWS S3)
Strong knowledge of LLMs, transformers, NLP, agentic modeling, and reinforcement learning concepts
2+ years of experience with open and commercial LLMs, RAG pipelines, and agent frameworks (LangGraph/LangChain Agents, DSPy, or equivalent)
Expertise in building data ETL/ELT pipelines and deploying models/LLMs using Docker/Kubernetes, CI/CD, and monitoring/observability tools
Excellent analytical, problem-solving, and critical-thinking skills
Demonstrated ability to work in cross-functional agile teams
Benefits
Competitive compensation and market-leading benefit programs
Company
Freddie Mac
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders.
5001-10000 employees
H1B Sponsorship
Freddie Mac has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (181)
2024 (119)
2023 (100)
2022 (134)
2021 (112)
2020 (71)
Funding
Current Stage
Public CompanyTotal Funding
$3.58BKey Investors
DLP Capital
2025-12-30Post Ipo Debt· $108.4M
2025-10-28Post Ipo Debt· $343.2M
2025-09-09Post Ipo Debt· $707M
Leadership Team
Dennis G. Hermonstyne
Senior Vice President and Chief Compliance Officer
Peter Lillestolen
Vice President - MF Production and Sales, Targeted Affordable Housing
Recent News
2026-01-20
2026-01-17
Company data provided by crunchbase