Zillion Technologies
Get AI-powered advice on this job and more exclusive features.
Must Have Qualifications :
Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Preferred: Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. 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 workflowsleveraging 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 drivesmap media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures **Required Qualifications:** * 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. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Zillion Technologies, Inc. by 2x Inferred from the description for this job
Medical insurance Disability insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
McLean, VA . Fairfax, VA $50,800.00-$119,200.00 3 days ago Washington, DC $173,000.00-$242,000.00 1 week ago Washington, DC $145,000.00-$204,000.00 1 week ago Arlington, VA $100,000.00-$200,000.00 2 days ago Germantown, MD $110,000.00-$146,000.00 2 weeks ago Washington, DC $160,000.00-$200,000.00 1 month ago Washington, DC $140,000.00-$180,000.00 1 week ago McLean, VA $110,000.00-$180,000.00 2 weeks ago Washington DC-Baltimore Area 16 hours ago Washington DC-Baltimore Area $200,000.00-$225,000.00 1 week ago Washington, DC $110,000.00-$132,500.00 1 day ago Artificial Intelligence/ Machine Learning Developer
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Preferred: Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. 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 workflowsleveraging 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 drivesmap media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures **Required Qualifications:** * 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. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Zillion Technologies, Inc. by 2x Inferred from the description for this job
Medical insurance Disability insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
McLean, VA . Fairfax, VA $50,800.00-$119,200.00 3 days ago Washington, DC $173,000.00-$242,000.00 1 week ago Washington, DC $145,000.00-$204,000.00 1 week ago Arlington, VA $100,000.00-$200,000.00 2 days ago Germantown, MD $110,000.00-$146,000.00 2 weeks ago Washington, DC $160,000.00-$200,000.00 1 month ago Washington, DC $140,000.00-$180,000.00 1 week ago McLean, VA $110,000.00-$180,000.00 2 weeks ago Washington DC-Baltimore Area 16 hours ago Washington DC-Baltimore Area $200,000.00-$225,000.00 1 week ago Washington, DC $110,000.00-$132,500.00 1 day ago Artificial Intelligence/ Machine Learning Developer
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr