Company Summary Targeted Approach is an

ISO 9001

2015-certified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing technical, analytical, logistics, management, and mission support services to customers across the Department of Defense and Federal Government. Targeted Approach is an Equal Opportunity Employer. Employment decisions are based on qualifications, merit, and mission requirements without regard to legally protected characteristics. Position Summary Targeted Approach (TA) is seeking an Intermediate Artificial Intelligence (AI) Engineer to support a Department of Defense program at Marine Corps Air Station (MCAS) Cherry Point, North Carolina. The Intermediate AI Engineer will provide hands-on technical expertise in artificial intelligence engineering, machine learning model development, cloud engineering, systems deployment, automation, security compliance, performance monitoring, quality assurance, and technical support. The successful candidate will bridge data science, artificial intelligence, cloud technologies, and software engineering to design, develop, test, deploy, and sustain production-ready AI/ML solutions. This position will support the transition of AI capabilities from development and experimentation into reliable, secure, and scalable operational environments. Duties Design, build, test, evaluate, and deploy machine learning models and artificial intelligence applications that automate tasks, improve business and operational processes, and address complex technical problems. Apply data science and software engineering principles to develop production-ready AI/ML systems capable of operating reliably within DoD environments. Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable programming and query languages. Develop AI/ML solutions using frameworks and libraries such as TensorFlow, PyTorch, or comparable technologies. Design, build, configure, and deploy AI applications and supporting infrastructure within cloud environments such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or similar platforms. Design, build, configure, and maintain virtualized and cloud-based systems supporting organizational data, applications, AI capabilities, and infrastructure. Support the migration and modernization of on-premises applications, data, and systems to cloud-based environments. Develop and implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities to improve efficiency, scalability, repeatability, and reliability. Support applicable DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments. Monitor AI models, applications, systems, and cloud environments to evaluate performance, scalability, reliability, availability, and operational effectiveness. Troubleshoot technical issues associated with AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems. Perform testing, validation, documentation, configuration management, and quality assurance activities throughout the AI/ML development and deployment lifecycle. Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into effective technical solutions. Develop and maintain technical documentation supporting system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment. Experience Demonstrated experience designing, building, testing, and deploying machine learning models and artificial intelligence applications. Experience integrating data science and software engineering concepts to create production-ready AI systems. Experience programming and querying using Python and SQL. Experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar tools. Experience designing, building, and deploying AI systems within AWS, Azure, GCP, or comparable cloud platforms. Experience designing, building, and maintaining virtualized and cloud-based environments supporting enterprise data, applications, and infrastructure. Experience supporting the migration of on-premises systems and applications to cloud environments. Experience automating cloud, infrastructure, data, and AI/ML processes. Experience supporting cybersecurity and security compliance requirements applicable to AI, cloud, and virtualized environments. Experience monitoring and optimizing system, model, application, and cloud performance to support scalability, reliability, and operational effectiveness. Education Requirements No degree requires 12 years of general experience Associate's degree requires 8 years of general experience Bachelor's degree 7 years of general experience Master's degree 6 years of general experience Ph.D. 4 years of general experience Relevant degrees may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or another related technical discipline. Preferred Qualifications MLOps and AI/ML lifecycle management. DevSecOps and CI/CD pipelines. Infrastructure as Code (IaC) and automated cloud provisioning. Docker, Kubernetes, or other containerization/orchestration technologies. Cloud-native data storage, processing, and analytics services. REST APIs and integration of AI/ML capabilities with enterprise applications. Model versioning, validation, monitoring, retraining, and performance optimization. Git or comparable source-code/configuration management tools. DoD cloud environments and cloud security requirements. Risk Management Framework (RMF), Security Technical Implementation Guides (STIGs), or other DoD cybersecurity requirements. Working within DoD, Department of the Navy, or U.S. Marine Corps technical environments. Supporting AI/ML capabilities through development, testing, deployment, operation, and sustainment Join us if you're passionate about harnessing the power of artificial intelligence to transform data into impactful insights! We value innovative thinkers eager to develop next-generation AI models that shape the future of technology-driven solutions.

Pay:

$110,000.00 - $130,000.00 per year

Benefits:

401(k) matching Dental insurance Health insurance Life insurance Paid time off Referral program Vision insurance

Education:

Bachelor's (Preferred)

Experience:

AI/ ML solutions: 7 years (Required) Security clearance: Secret (Required) Ability to

Commute:

Cherry Point, NC 28533 (Required)

Work Location:

In person