Artificial IntelligenceMachine Learning SME

Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in AI/ML Engineering to support the Test Resource Management Centers operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War.

In this role you will work alongside other SMEs students interns engineers AI and DE experts from academia and other industry teammates to translate operational and strategic requirements into educational opportunities as well as scalable production-ready solutions. You will contribute directly to product planning execution intern mentoring and continuous improvementhelping ensure qualified individuals are delivered efficiently to the Department of War and positioned for sustained success.

This position offers the opportunity to work on a high-visibility mentorship program at the intersection of data analytics and emerging AI technologies. Ideal candidates are motivated by mission impact have strong interpersonal skills and the willingness to mentor interns must be comfortable operating in complex stakeholder environments and interested in building deep domain expertise while delivering capabilities and training individuals with real-world national security outcomes.

Responsibilities will include but may not be limited to:

• Serving as the primary Subject Matter Expert on AI/ML Engineering for the AIDETL Interns and staff providing authoritative guidance on AI strategy architecture policy and implementation aligned with the AIDETLs mission objectives
• Providing expert-level training workshops and briefings to AIDETL Interns on AI/ML concepts and AI/ML best practices
• Assisting in AIDETL curriculum development
• Building and maintaining data pipelines for efficient data processing and model training
• Training and tuning algorithms to improve predictive accuracy and decision-support tasks
• Deploying models into production environments ensuring reliability and performance
• Identifying and integrating appropriate COTS government and custom tools within established frameworks
• Collaborating with cross-functional teams to ensure alignment with enterprise architecture and security requirements
• Staying updated on industry trends and advancements in AI/ML technologies
• Developing and implementing best practices for model development and deployment
• Ensuring compliance with cybersecurity policies and standards throughout the project lifecycle
• Analyzing system performance metrics and recommend improvements for efficiency and scalability

FILLING THIS POSITION IS CONTINGENT UPON FUNDING

#LI-HK1

• Secret clearance
• Bachelors degree in computer science Data Science Artificial Intelligence Engineering or related technical discipline and 1215 years of relevant experience OR Masters degree in a related field and 1013 years of relevant experience.
• 5years designing building and operating endtoend AI/ML infrastructure (data ingestion feature pipelines model training and serving) in production environments.
• Expertlevel proficiency with at least two of the following: TensorFlow PyTorch JAX or ScikitLearn including design of deeplearning architectures (CNN RNN Transformer) and modelexplainability methods (SHAP LIME Counterfactuals).
• Proven ability to build endtoend MLOps pipelines (CI/CD automated testing model versioning monitoring) using Kubeflow MLflow TFX or similar tools and to deploy models in production and development environments.
• Experience instrumenting pipelines with Prometheus Grafana CloudWatch/Stackdriver Open Telemetry; implementing automated modeldrift detection dataquality checks and compliance/audit trails.
• Ability to translate complex business problems (e.g. computer vision NLP predictive maintenance anomaly detection) into robust ML solutions and evaluate them against domainspecific KPIs (accuracy latency cost safety).
• Strong programming skills in languages such as Python R or Java.
• Strong problem-solving abilities and analytical thinking.
• Strong communication and interpersonal skills.
• Solid understanding and hands-on experience with generative AI models including prompt engineering chain-of-thought reasoning and Natural Language Processing (NLP) tasks such as entity extraction summarization and semantic search.
• Experience mentoring junior engineers leading crossfunctional AI projects and clearly communicating technical concepts to both technical and nontechnical audiences (executives product owners compliance teams).
• Excellent documentation and presentation skills are required Familiarity with deployment into virtualized and containerized environments (e.g. VMware Docker Kubernetes).
• Strong project management skills with the ability to own initiative execution from start to finish adapting to evolving AIDETL curriculum needs and mission priorities.

• 12 years of experience in AI/ML and/or data engineering or related fields.
• Experience leading and managing Agile SCRUM teams. (Strong familiarity with Agile Scrum processes and methodologies)
• Experience supporting AI/ML solutions across multi-enclave DoD environments.
• Experience implementing automated model validation bias detection and drift monitoring frameworks.
• Experience integrating AI services into enterprise APIs and microservices architectures.
• Experience optimizing GPU-based training and inference pipelines.
• Experience supporting enterprise-scale analytics data platforms or AI modernization initiatives.
• Publications patents or opensource contributions that demonstrate thoughtleadership in emerging AI areas such as foundation models reinforcement learning federated learning or privacypreserving ML.
• Familiarity with evaluation and observability tools for AI agents such as LangSmith OpenAI Evals or custom telemetry systems.
• Experience with AI service integration such as NIMS Azure OpenAI Bedrock GCP Vertex AI.
• Hands-on GPU programming experience for ML workloads using CUDA PyTorch or TensorFlow including optimization for performance and efficiency.
• Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain LangGraph CrewAI A2A MCP or AutoGen.

SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL

• 10% travel primarily to Academic institutions but also to cyber and physical ranges or industry events

Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.

SRC offers a generous benefit package including medical dental and vision plans 401(k) with a company match life insurance vacation and sick paid time off accruals starting at 10 days of vacation and 5 days of sick leave annually 11 paid holidays tuition reimbursement and a work environment that encourages excellence and more. For positions requiring a security clearance selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race color religion sex age sexual orientation gender identity national origin disability protected veteran status or any other protected characteristic under federal state or local law.

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