Data Scientist Specialist

Our Client, a Real Estate and Financial Services company, is looking for a Data Scientist Specialist for their McLean, VA location.

• Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.
• Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives.
• 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 Sage Maker and MLFlow/Kubeflow on Kubernetes (EKS).
• Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences.
• Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
• Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows—leveraging best practices like semantic chunking and privacy controls
• Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media
• Implement embeddings drives—map media content to vector representations using embedding models, and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures

• BA or MS in AI/Data Science
• Experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions.
• Deep expertise in prompt engineering, fine-tuning, RAG, Graph
  
  RAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models.
• Proven experience with cloud-native AI development (AWS Sage Maker, Bedrock, MLFlow 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
• Demonstrated ability to work in cross-functional agile teams.
• Need Github Code Repository Link for each candidate. Please thoroughly vet the candidates.
• Published contributions or patents in AI/ML/LLM domains.
• Hands-on experience with enterprise AI governance and ethical deployment frameworks.
• Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
• Looking for a Data Scientist with background in ML and Deep Learning. Someone who has experience with ML and Data Science and has been a Software Engineer in the past and now moved to Gen AI.
• Will be partnering with Full Stack agents to build AI apps.
• It’s a Gen AI focused role.
• Exp. with ML transition to Gen AI
• Experience building AI agents Workflows.
• Expertise with RAG and Graph RAG
• MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication experience.
• Able to develop AI Workflows.
• Experience building Business Use Cases

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.