At Freddie Mac, the business and/or technical problem is to design and develop cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems, enhance operational efficiency, make data-driven decisions, and unlock new opportunities for growth by leveraging advanced AI technologies.
Requirements
- Deep expertise in prompt engineering, fine-tuning, RAG, Graph RAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models.
- Familiarity with CI/CD practices for ML Ops and scalable inference APIs
- Experience training and testing Machine/Deep Learning, Natural Language Models
- Proven experience with AI development on AWS SageMaker, Bedrock, ML Flow on EKS
- Strong programming skills in Python and ML libraries (Transformers, Lang Chain, etc.)
- Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks
- Hands-on experience with enterprise AI governance and ethical deployment frameworks.
Responsibilities
- Design and implement scalable AI Agents, Agentic Workflows and Gen AI applications to address diverse and complex business use cases.
- Evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives for business use cases.
- Train, Fine-tune, optimize and Test lightweight Large Language Models (LLMs) to address diverse and complex business use cases.
- Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases.
- Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic.
- Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.
- Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
Other
- Agile Development, Professional Gen AI (Data) Scientist with a strong focus on Generative AI (Gen AI)
- Serve as a hands-on Gen AI (data) scientist and critical thought leader
- Collaborate with full stack developers, UX designers, product managers and data engineers
- Collaborate with Gen AI scientists, UX designers, and other cross-functional teams
- Demonstrated ability to work in cross-functional agile teams
