Data Scientist Specialist

Immediate need for a talented Data Scientist Specialist. This is a 06+months contract opportunity with long-term potential and is located in Mclean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-83621

Pay Range: $110 - $115/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• 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 SageMaker 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 KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures

Key Requirements and Technology Experience:

• Key skills; Generative AI, Python Coding , ML libraries
• PhD in AI/Data Science
• 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions.
• Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS KnowledgeBase / Elastic), and multi-modal models.
• Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS).
• Strong programming skills in Python and ML libraries (Transformers, LangChain, 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

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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