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Position Overview:

Freddie Mac is seeking a hands-on Data Scientist / ML Engineer to lead the design development and deployment of innovative AI/ML Generative AI (GenAI) and Agentic AI solutions for Enterprise Risk organization. This role requires advanced proficiency in data science data engineering and expertise in LLMs/GenAI to build scalable production-ready systems that drive business impact. You will work across the entire AI lifecycle from data collection and model experimentation to production deployment and monitoring collaborating with cross-functional teams to deliver enterprise-grade AI solutions.

Key Responsibilities:

• End-to-End AI/ML Solution Delivery: 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.

• Data Engineering and Pipelines: Design build and maintain robust scalable data pipelines for ingestion preprocessing and feature engineering supporting both structured and unstructured enterprise data.

• LLM/GenAI & Agentic AI: 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.

• Trustworthy AI & Risk Controls: Establish robust evaluation frameworks (hallucination checks calibration bias/fairness adversarial tests) logging/telemetry safeguards governance artifacts and documentation for model risk management.

• MLOps and Deployment: 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).

• Performance Monitoring and Optimization: Optimize inference latency throughput and cost; establish monitoring and observability to ensure performance safety and reliability in mission-critical environments.

• Collaboration and Strategy: Work closely with AI engineers software engineers product managers and business stakeholders to translate complex business problems into AI-native solutions with measurable impact.

Our Impact:

At Freddie Mac we are at the forefront of technological innovation developing AI solutions that transform complex business challenges into streamlined automated processes. By leveraging advanced AI/ML GenAI and Agentic AI technologies we enable businesses to enhance operational efficiency make data-driven decisions and unlock new opportunities for growth. Our commitment to trustworthy AI and robust risk controls ensures our solutions are reliable safe and compliant with industry standards delivering impactful and sustainable results.

Your Impact:

As a Data Scientist / ML Engineer you will play a pivotal role in shaping the future of AI-driven business solutions. Your expertise in data science LLMs and Agentic AI will directly influence how businesses operate and succeed. By collaborating with cross-functional teams you will drive the implementation of scalable production-ready AI solutions that meet the highest standards of performance safety and reliability.

Qualifications:

• Bachelors or equivalent experience; advanced studies/degree preferred. Masters 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.

Keys to Success in this Role:

• Technical Proficiency: Demonstrate deep expertise in data science LLMs and Agentic AI. Your ability to design and implement scalable solutions will be essential.

• Quality and Compliance: Establish and enforce evaluation frameworks and procedures to ensure production-ready deployment of AI/ML solutions.

• Collaboration: Work effectively with AI engineers software engineers product managers and business stakeholders to build comprehensive AI experiences. Strong communication skills and a team-oriented mindset are key.

• Innovation and Problem-Solving: Employ modern AI/ML and GenAI design patterns and best practices to solve complex business problems. Your innovative approach will help integrate advanced AI into application architectures successfully.

• Agility and Adaptability: Thrive in a fast-paced agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.

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 Macs 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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more please visit and register with our referral code: MAC.

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.