Intermediate Artificial Intelligence (AI) Engineer

DataJobs; Cherry Point (IL); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

401(k) matching

Dental insurance

Health insurance

Life insurance

Paid time off

Referral program

Vision insurance

Job summary

DataJobs is seeking an AI/ML engineer to support a DoD program at MCAS Cherry Point, NC, delivering production-ready AI/ML capabilities and secure cloud-based solutions.

The role involves designing, building, testing, and deploying ML models, maintaining data pipelines, and collaborating with government stakeholders to translate operations into scalable AI systems.

Required skills include Python/SQL, TensorFlow/PyTorch, and AWS/Azure/GCP, plus DoD cybersecurity and CI/CD practices.

Qualifications

• Demonstrated experience designing, building, testing, and deploying machine learning models and AI applications
• Experience integrating data science and software engineering concepts to create production-ready AI systems
• Programming and querying experience with Python and SQL
• Experience using AI/ML frameworks such as TensorFlow or PyTorch
• Experience designing, building, and deploying AI systems in 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 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

Responsibilities

• Design, build, test, evaluate, and deploy ML models and AI applications
• Build production-ready AI/ML systems using data science and software engineering principles
• Develop software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable languages
• Create AI/ML solutions using TensorFlow, PyTorch, or comparable frameworks
• Design, build, configure, and deploy AI applications and supporting infrastructure in cloud environments such as AWS, Azure, GCP
• Design, build, configure, and maintain virtualized and cloud-based systems for data, applications, AI capabilities, and infrastructure
• Support migration and modernization of on-premises applications, data, and systems to cloud-based environments
• Implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities
• Support DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments
• Monitor AI models, applications, systems, and cloud environments to assess performance, scalability, reliability, availability, and operational effectiveness
• Troubleshoot issues across AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems
• Perform testing, validation, documentation, configuration management, and quality assurance across the AI/ML lifecycle
• Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into technical solutions
• Maintain technical documentation covering system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment

Skills

Python

SQL

TensorFlow

PyTorch

AWS

Azure

GCP

CI/CD pipelines

Docker

Kubernetes

Education

Bachelor's degree

Master's degree

Ph.D.

Associate's degree

Tools

Docker

Kubernetes

Job description

Support a Department of Defense program at MCAS Cherry Point, North Carolina by designing and delivering production-ready AI/ML capabilities.

Responsibilities

• Design, build, test, evaluate, and deploy machine learning models and AI applications to automate tasks and improve business and operational processes
• Build production-ready AI/ML systems using data science and software engineering principles for reliable operation in DoD environments
• Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable languages
• Create AI/ML solutions using TensorFlow, PyTorch, or comparable frameworks
• Design, build, configure, and deploy AI applications and supporting infrastructure in cloud environments such as AWS, Microsoft Azure, GCP, or similar platforms
• Design, build, configure, and maintain virtualized and cloud-based systems for data, applications, AI capabilities, and infrastructure
• Support migration and modernization of on-premises applications, data, and systems to cloud-based environments
• Implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities to improve efficiency, scalability, repeatability, and reliability
• Support DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments
• Monitor AI models, applications, systems, and cloud environments to assess performance, scalability, reliability, availability, and operational effectiveness
• Troubleshoot issues across AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems
• Perform testing, validation, documentation, configuration management, and quality assurance across the AI/ML lifecycle
• Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into technical solutions
• Maintain technical documentation covering system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment

Requirements

• Demonstrated experience designing, building, testing, and deploying machine learning models and AI applications
• Experience integrating data science and software engineering concepts to create production-ready AI systems
• Programming and querying experience with Python and SQL
• Experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar tools
• Experience designing, building, and deploying AI systems in 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 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

Technologies

• Python
• SQL
• TensorFlow
• PyTorch
• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Benefits

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

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

Education Requirements

• No degree requires 12 years of general experience
• Associate's degree requires 8 years of general experience
• Bachelor's degree requires 7 years of general experience
• Master's degree requires 6 years of general experience
• Ph.D. requires 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

Pay

• $110,000.00 - $130,000.00 per year

Security Clearance

• Secret (Required)

Location and Work Setup

• Cherry Point, NC 28533 (Required)
• In person

Minimum experience: 7 years

Education: Bachelor's degree

Location: Cherry Point, NC (onsite)