Nakupuna Companies
Amazon Web Service (AWS) Machine Learning (ML) Architect
Nakupuna Companies, Arlington, Virginia, United States, 22201
Overview
Nakupuna Consulting seeks a Machine Learning Architect for an Amazon Web Services (AWS) environment with strong technical expertise in constructing, developing and extending Retrieval-Augmented Generation (RAG) models. The ML Architect will help the Defense POW/MIA Accounting Agency (DPAA) imagine and scope AI/ML use cases that create value for the agency, define paths to navigate technical challenges, develop proof-of-concepts, and plan for launching solutions at scale. The role involves designing models using data from DPAA’s Mission Application Suite to identify missing personnel from previous conflicts. The position collaborates with customers and mission partners to develop innovative solutions that enhance DPAA’s ability to locate, recover, and identify missing personnel through cutting-edge technologies and cross-functional teamwork. The role also involves collaboration with contractors and government IT professionals to accomplish system architecture and sustainment objectives. Responsibilities
The following reflects management’s essential functions for this job. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions addressing real-world challenges. Engage directly with customers to understand business problems and assist in implementing generative AI solutions. Brief customers and guide them on adoption strategies and production deployment pathways. Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive audiences. Provide customer and market feedback to product and engineering teams to influence product direction and roadmap. Implement data pipelines, vectorization methods, and API integrations using Python. Utilize AWS AI/ML services such as Amazon SageMaker, Bedrock, and Comprehend for model development, fine-tuning, and orchestration. Manage structured and unstructured data using AWS storage and retrieval solutions like Amazon S3, OpenSearch, and Aurora. Apply vector database technologies for document retrieval and similarity search (e.g., FAISS, Pinecone, OpenSearch vector search). Integrate LLM APIs and apply prompt engineering techniques to connect retrieval systems with generative models. Demonstrate basic DevOps and security awareness on AWS, including IAM roles, networking (VPCs), and data encryption practices. Use containerization and orchestration tools (e.g., Docker, AWS Lambda/ECS) for scalable RAG pipeline deployment. Utilize AWS Lambda for running responses triggered by alerts from integrated services. Support security and operations using AWS-native technologies, ensuring compliance with DoD security requirements. Evaluate and propose new AWS technologies and modernization paths to enhance operational efficiency and security with AI solutions. Develop and maintain Standard Operating Procedures (SOPs), technical documentation, and reports on system operations. Adhere to Agile program practices, including participation in team scrums and sprint planning, and document work in the approved ticketing system. Qualifications
Skills/Qualifications: Strong technical expertise in AWS GovCloud and Microsoft Windows Server environments. Excellent technical, organizational, decision-making, and analytical skills. Strong communication skills with the ability to engage both technical staff and executive stakeholders. Ability to enforce program best practices (ticketing, documentation, reporting). Familiarity with DoD IT environments, compliance requirements, and cybersecurity standards. Ability to adapt to a dynamic, fast-paced environment and support teams across geographically dispersed locations. Education/Experience: Bachelor’s degree in a STEM field from an accredited institution, or equivalent years of related work or military experience. Minimum of 3 years of relevant professional experience, including systems administration and cloud operations. Experience supporting DoD IT environments preferred. Experience using Agile methodologies and ticketing systems such as JIRA is desirable. Certification: Preferred: Active IAT II Certification which may include CASP+, CySA+, CISSP, or Security+; AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Cloud Practitioner, AWS SysOps Administrator Associate, AWS Solutions Architect Associate). Nice to have: Agile Methodology related certifications. Clearance Requirements: Must currently have at least a Secret level security clearance. Must be a U.S. citizen. Work Location
Position may be based in Arlington, VA or Honolulu, HI (time-zone). On-site three days per week preferred; fewer days may be considered for the right candidate. Occasional travel (1–2 weeks per year) within the Continental U.S. or to Hawaii may be required. May require working outside of normal business hours, including evenings and weekends, to meet operational or project demands. Physical Requirements
Ability to perform repetitive motions with the hands, wrists, and fingers. Ability to engage in and follow audible communications in emergency situations. Ability to sit for prolonged periods at a desk and work on a computer.
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Nakupuna Consulting seeks a Machine Learning Architect for an Amazon Web Services (AWS) environment with strong technical expertise in constructing, developing and extending Retrieval-Augmented Generation (RAG) models. The ML Architect will help the Defense POW/MIA Accounting Agency (DPAA) imagine and scope AI/ML use cases that create value for the agency, define paths to navigate technical challenges, develop proof-of-concepts, and plan for launching solutions at scale. The role involves designing models using data from DPAA’s Mission Application Suite to identify missing personnel from previous conflicts. The position collaborates with customers and mission partners to develop innovative solutions that enhance DPAA’s ability to locate, recover, and identify missing personnel through cutting-edge technologies and cross-functional teamwork. The role also involves collaboration with contractors and government IT professionals to accomplish system architecture and sustainment objectives. Responsibilities
The following reflects management’s essential functions for this job. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions addressing real-world challenges. Engage directly with customers to understand business problems and assist in implementing generative AI solutions. Brief customers and guide them on adoption strategies and production deployment pathways. Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive audiences. Provide customer and market feedback to product and engineering teams to influence product direction and roadmap. Implement data pipelines, vectorization methods, and API integrations using Python. Utilize AWS AI/ML services such as Amazon SageMaker, Bedrock, and Comprehend for model development, fine-tuning, and orchestration. Manage structured and unstructured data using AWS storage and retrieval solutions like Amazon S3, OpenSearch, and Aurora. Apply vector database technologies for document retrieval and similarity search (e.g., FAISS, Pinecone, OpenSearch vector search). Integrate LLM APIs and apply prompt engineering techniques to connect retrieval systems with generative models. Demonstrate basic DevOps and security awareness on AWS, including IAM roles, networking (VPCs), and data encryption practices. Use containerization and orchestration tools (e.g., Docker, AWS Lambda/ECS) for scalable RAG pipeline deployment. Utilize AWS Lambda for running responses triggered by alerts from integrated services. Support security and operations using AWS-native technologies, ensuring compliance with DoD security requirements. Evaluate and propose new AWS technologies and modernization paths to enhance operational efficiency and security with AI solutions. Develop and maintain Standard Operating Procedures (SOPs), technical documentation, and reports on system operations. Adhere to Agile program practices, including participation in team scrums and sprint planning, and document work in the approved ticketing system. Qualifications
Skills/Qualifications: Strong technical expertise in AWS GovCloud and Microsoft Windows Server environments. Excellent technical, organizational, decision-making, and analytical skills. Strong communication skills with the ability to engage both technical staff and executive stakeholders. Ability to enforce program best practices (ticketing, documentation, reporting). Familiarity with DoD IT environments, compliance requirements, and cybersecurity standards. Ability to adapt to a dynamic, fast-paced environment and support teams across geographically dispersed locations. Education/Experience: Bachelor’s degree in a STEM field from an accredited institution, or equivalent years of related work or military experience. Minimum of 3 years of relevant professional experience, including systems administration and cloud operations. Experience supporting DoD IT environments preferred. Experience using Agile methodologies and ticketing systems such as JIRA is desirable. Certification: Preferred: Active IAT II Certification which may include CASP+, CySA+, CISSP, or Security+; AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Cloud Practitioner, AWS SysOps Administrator Associate, AWS Solutions Architect Associate). Nice to have: Agile Methodology related certifications. Clearance Requirements: Must currently have at least a Secret level security clearance. Must be a U.S. citizen. Work Location
Position may be based in Arlington, VA or Honolulu, HI (time-zone). On-site three days per week preferred; fewer days may be considered for the right candidate. Occasional travel (1–2 weeks per year) within the Continental U.S. or to Hawaii may be required. May require working outside of normal business hours, including evenings and weekends, to meet operational or project demands. Physical Requirements
Ability to perform repetitive motions with the hands, wrists, and fingers. Ability to engage in and follow audible communications in emergency situations. Ability to sit for prolonged periods at a desk and work on a computer.
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