AI/ML Subject Matter Expert (SME)

Job Title: AI/ML Subject Matter Expert (SME)

Location: APG, MD 21005
Number of Positions: 2
Experience Required: Minimum 15 Years

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Position Overview:

We are looking for highly experienced and innovative AI/ML Subject Matter Experts (SMEs) to lead critical AI/ML initiatives in a secure, mission-critical environment. The ideal candidates will bring deep hands-on experience in model development, advanced research, and deployment, with a focus on working in controlled and secured ecosystems.

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Key Responsibilities:

• Lead the development and implementation of AI/ML strategies and models across projects.

• Act as a technical thought leader in AI/ML design, development, and deployment.

• Collaborate with cross-functional stakeholders to understand requirements and deliver customized AI/ML solutions.

• Stay at the forefront of AI/ML advancements and apply state-of-the-art techniques to solve real-world challenges.

• Mentor junior team members on AI/ML best practices and frameworks.

• Develop, evaluate, and optimize models for performance, accuracy, and compliance with project standards.

• Ensure that all AI-generated outputs provide traceable source citations.

• Evaluate and integrate new AI/ML tools, frameworks, and platforms into project pipelines.

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Special Project Requirements:

< class="" data-start="1603" data-end="1628">LLM Fine-Tuning:</>

• Fine-tune pre-trained open-source LLMs or use adapter-based tuning (e.g., LoRA) under limited compute conditions.

< class="" data-start="1746" data-end="1783">RAG Pipeline Implementation:</>

• Design and deploy Retrieval-Augmented Generation (RAG) pipelines.

• Implement advanced Graph RAG techniques for multi-hop and complex data retrieval scenarios.

< class="" data-start="1947" data-end="1990">Deployment in Secure Environments:</>

• Deploy AI/ML applications in simulated air-gapped or private cloud environments.

• Avoid exposure of inference APIs to public networks.

< class="" data-start="2130" data-end="2157">Security Measures:</>

• Enforce encrypted data handling and simulate secure access (e.g., biometric authentication, heartbeat monitoring).

< class="" data-start="2276" data-end="2311">API & Backend Development:</>

• Create RESTful APIs for access to model outputs and data pipelines.

< class="" data-start="2383" data-end="2398">UI/UX:</>

• Develop intuitive and functional user interfaces for showcasing AI/ML capabilities.

< class="" data-start="2486" data-end="2510">Cost Awareness:</>

• Apply efficiency strategies like model quantization, resource-optimized retrieval, and GPU-minimized processing.

< class="" data-start="2627" data-end="2655">Source Attribution:</>

• Ensure every AI-generated response includes a reference to its original source for full traceability.

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Required Technical Skills:

• Advanced understanding of AI/ML principles and model lifecycle.

• Hands-on expertise in Python (preferred), R, or Java.

• Proven experience with LLMs, RAG architectures, and adapter-based fine-tuning (e.g., LoRA).

• Strong knowledge of secure AI deployments and backend/API development.

• Experience with cost-reduction strategies for high-efficiency AI solutions.

• Familiarity with tools and libraries like Hugging Face Transformers, LangChain, FAISS, Weaviate, etc., is a plus.

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Preferred Qualifications:

• Experience in Department of Defense (DoD) or similar high-security environments.

• Exposure to DevSecOps or MLOps practices.

• Experience working in air-gapped, classified, or simulated secure environments.