Ai/Ml Sme

PMAT • San Diego, CA

19h • Onsite

About The Position

At PMAT, we work on mission critical systems that directly support the warfighter, designing, building, and securing modern digital capabilities across cloud, data, and software environments. Our teams tackle complex, real-world challenges where delivery matters more than theory, and innovation is driven by curiosity, collaboration, and purpose. In this role, you’ll contribute to mission-focused technology initiatives, working alongside engineers and technical stakeholders to deliver resilient, forward-leaning solutions in support of national defense. About the role: PMAT is seeking a highly experienced Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) to provide senior technical leadership for the development, integration, testing, evaluation, and deployment of AI/ML capabilities at scale. This role will support the establishment and sustainment of production and development environments while leading efforts to identify, acquire, curate, and prepare relevant data for AI/ML applications. The candidate will work closely with engineers, data scientists, software developers, test personnel, and senior stakeholders to develop machine learning solutions, evaluate their effectiveness, and transition successful capabilities into production environments. This role requires extensive hands-on AI/ML expertise, strong data engineering and test capabilities, and the ability to translate complex technical problems into measurable AI/ML objectives and deployable technical solutions.

Requirements

• Extensive experience in artificial intelligence, machine learning, data science, data engineering, software engineering, applied mathematics, or related technical disciplines.
• Hands-on experience designing, developing, training, evaluating, integrating, and deploying machine learning models, algorithms, or other advanced analytic capabilities.
• Strong programming experience in Python and experience applying software engineering practices to AI/ML development and production deployment.
• Experience identifying, acquiring, curating, preprocessing, transforming, and managing data used to develop, train, test, and evaluate AI/ML capabilities.
• Experience developing test approaches, selecting quantitative and qualitative performance metrics, evaluating AI/ML capabilities, interpreting results, and providing technically supported recommendations.
• Experience with data preprocessing, feature engineering, model training, model validation, performance evaluation, and analysis of model behavior.
• Experience collaborating across data science, data engineering, software engineering, systems engineering, test, cybersecurity, and technical teams to develop and deliver complex capabilities.
• Familiarity with cloud computing, containerization, software development environments, and technologies such as AWS, Azure, Docker, Kubernetes, or similar platforms.
• Strong analytical, problem-solving, and communication skills with the ability to translate complex challenges into technical requirements and communicate AI/ML concepts, results, risks, and recommendations to technical and non-technical stakeholders.
• Bachelor’s Degree or Equivalent Experience
• U.S. Citizenship required
• TS/(SCI Eligible) security clearance required

Nice To Haves

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar AI/ML development technologies.
• Experience with additional programming languages such as Java, C++, Go, or Rust.
• Experience with distributed computing, parallel processing, GPU-accelerated computing, or other approaches used to develop and optimize AI/ML capabilities at scale.
• Experience developing cloud-native AI/ML architectures, data pipelines, software APIs, containerized applications, or distributed AI/ML services.
• Experience with MLOps, model lifecycle management, model monitoring, automated testing, reproducible ML workflows, and production AI/ML pipeline development.
• Experience with CI/CD and automation technologies such as Git, GitHub Actions, GitLab CI, Jenkins, or similar development and deployment tools.
• Experience integrating AI/ML capabilities into distributed systems, edge computing environments, or other complex software and technology platforms.
• Experience developing or evaluating AI/ML capabilities in secure, classified, disconnected, bandwidth-constrained, or resource-constrained environments.
• Familiarity with cybersecurity principles, DevSecOps practices, secure AI/ML development, and government or defense AI, data, and MLOps requirements.
• Experience supporting testing, experimentation, demonstrations, or deployment of AI/ML capabilities in complex technical environments.
• Previous experience supporting government, defense, or military organizations.

Responsibilities

• Lead the design, development, implementation, integration, and deployment of machine learning models, algorithms, and data-driven capabilities supporting mission and technical requirements.
• Identify, acquire, curate, preprocess, and manage data for AI/ML development and production applications while facilitating access to relevant data sources.
• Develop and deploy algorithms, mathematical models, and machine learning solutions into production, cloud, edge, and distributed computing environments.
• Lead AI/ML test and evaluation activities by defining test plans, establishing quantitative and qualitative performance metrics, evaluating model behavior and effectiveness, interpreting results, and developing technically supported recommendations.
• Perform data preprocessing, feature engineering, model training, validation, performance analysis, and optimization to ensure AI/ML solutions are reliable, relevant, and aligned with technical requirements.
• Collaborate with engineers, data scientists, data engineers, software developers, test teams, and technical stakeholders to translate complex problems into AI/ML requirements, technical approaches, data needs, evaluation criteria, and deployable capabilities.
• Develop and support production-ready AI/ML and MLOps pipelines using cloud, containerization, orchestration, automation, CI/CD, and DevSecOps technologies to enable repeatable development, testing, deployment, monitoring, and sustainment.
• Provide senior technical guidance on AI/ML architecture, data engineering, model selection, performance, testing, deployment, and emerging technologies while mentoring technical personnel and advising engineering and program leadership.
• Develop and maintain technical documentation, test plans, evaluation results, engineering artifacts, briefings, recommendations, and other documentation supporting AI/ML development, testing, deployment, and operational use.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree