Data Scientist Specialist

Job Title: Data Scientist Specialist
Location: Mclean, VA
Duration: 03 Months
Job ID - 747

Job Description:
Position Summary:

• Client is seeking a highly experienced Principal Gen AI Scientist*with a strong focus on Generative AI (GenAI)*to lead the design and development of cuttingedge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems.
• This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multimodal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments.
• Candidate will serve as a handson Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.

Key Responsibilities:

• Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.
• Develop, finetune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives.
• Design and deploy RetrievalAugmented 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 (Agentto-Agent) communication.
• Build and maintain Jupyterbased notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
• Collaborate with crossfunctional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences.
• Integrate GenAI solutions with enterprise platforms via APIbased methods and GenAI standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for productionready deployment.
• Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLMpowered 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

Required Qualifications:

• PhD in AI/Data Science
• 10 plus years of experience in AI/ML, with 3+ years in applied GenAI or LLMbased solutions.
• Deep expertise in prompt engineering, finetuning, RAG, GraphRAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models.
• Proven experience with cloudnative 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 crossfunctional agile teams.
• Need Github Code Repository Link for each candidate.
• Please thoroughly vet the candidates.

Preferred Qualifications:

• Published contributions or patents in AI/ML/LLM domains.
• Handson experience with enterprise AI governance and ethical deployment frameworks.
• Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
• Please log in to Workday VNDLY to review the specific details.
• Thank you in advance for your attention and continued support.

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.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $95 -$100
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at [email protected]
Add your LinkedIn Hashtag at end of the job description
Example- #LI-AK4
Job Title: Data Scientist Specialist
Location: Mclean, VA
Duration: 03 Months
Job ID - 747

Job Description:
Position Summary:

• Client is seeking a highly experienced Principal Gen AI Scientist*with a strong focus on Generative AI (GenAI)*to lead the design and development of cuttingedge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems.
• This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multimodal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments.
• Candidate will serve as a handson Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.

Key Responsibilities:

• Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.
• Develop, finetune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives.
• Design and deploy RetrievalAugmented 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 (Agentto-Agent) communication.
• Build and maintain Jupyterbased notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
• Collaborate with crossfunctional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences.
• Integrate GenAI solutions with enterprise platforms via APIbased methods and GenAI standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for productionready deployment.
• Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLMpowered 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

Required Qualifications:

• PhD in AI/Data Science
• 10 plus years of experience in AI/ML, with 3+ years in applied GenAI or LLMbased solutions.
• Deep expertise in prompt engineering, finetuning, RAG, GraphRAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models.
• Proven experience with cloudnative 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 crossfunctional agile teams.
• Need Github Code Repository Link for each candidate.
• Please thoroughly vet the candidates.

Preferred Qualifications:

• Published contributions or patents in AI/ML/LLM domains.
• Handson experience with enterprise AI governance and ethical deployment frameworks.
• Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
• Please log in to Workday VNDLY to review the specific details.
• Thank you in advance for your attention and continued support.

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.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $95 -$100
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at [email protected]
Add your LinkedIn Hashtag at end of the job description
Example- #LI-AK4