SimIS

IT solutions for government and defense

Artificial Intelligence Integrator

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeNorfolk, VA, USANo salary listed

About the Job

Requirements

A Bachelor of Science degree in Data Science, Machine Learning, Artificial Intelligence, or Computer Science.
At least 5 years of professional experience in data science, machine learning, or AI engineering.
At least 3 years of experience integrating AI technologies into practical applications; simulation or wargaming experience is preferred.
At least 3 years of experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI.
Proficiency with AI and machine learning frameworks and tools such as TensorFlow, PyTorch, and scikit-learn.
Experience with generative AI models, particularly Large Language Models such as GPT-3 or GPT-4.

Responsibilities

Contribute to the integration of artificial intelligence in NATO's warfare development and capability development efforts.
Collaborate with wargaming experts to identify areas where AI can enhance wargaming design, scenario development, analysis, adjudication, and support for human teams.
Support the integration of traditional AI methods and generative AI, including Large Language Models, into wargaming to improve strategic depth and execution.
Develop real-time analytics and visualizations to support decision-making during wargaming simulations, for example using Power BI.
Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems.
Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios.
Document and present findings from AI integration experiments to stakeholders and propose continuous improvements.

Desired Qualifications

Experience integrating AI technologies into practical applications in simulation or wargaming contexts.

ONSITE

Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award.

Job Description:
NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to for the capture, development, architecture, data science and quality assurance of capability requirements and operational analysis necessary to adapt to future threats and explore long-term military strategy to shape how NATO's forces will operate in the future. To support our NATO customer, SimIS seeks an Artificial Intelligence Integrator to facilitate collaboration, provide subject matter expertise, and ensure seamless integration of AI technologies to enhance Alliance capabilities.

Qualifications and Experience Required:

BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science.
Minimum of 5 years’ experience in data science, machine learning, or AI engineering in a professional work environment.
Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts.
Minimum of 3 years’ experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI.
Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc.
Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4.

Specific Requirements:

Contribute to the integration of artificial intelligence in NATO’s warfare development efforts and capability development.
Collaborate with wargaming experts to identify key areas where AI can enhance wargaming design, scenario development, analysis, adjudication, and support to human teams.
Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving, for example, strategic depth, and enhanced execution of wargames.
Develop real-time analytics and visualizations to support decision-making during wargaming simulations, for example, using Power BI.
Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems.
Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios.
Document and present findings from AI integration experiments to stakeholders, proposing continuous improvements.

Benefits:

Medical, Dental, and Vision
Short-Term Disability (at no cost to you) & Long-Term Disability
Life Insurance
401(k) Savings Plan
Flex Spending Accounts
Tuition Assistance Program
Professional Development
Paid Time Off (PTO)
11 Federal Holidays each year

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

About the Company

SimIS

IT solutions for government and defense

SimIS provides information technology solutions for government and defense across modeling and simulation, test and evaluation, cybersecurity, and autonomous systems. Its offerings include executable models built with cognitive systems engineering for simulations, DoD/DHS T&E to verify system readiness, and cybersecurity services such as CMMC compliance, plus autonomous platforms developed in-house like the SAMS maritime system and RiverScout. The company differentiates itself by delivering end-to-end, integrated capabilities from concept to deployment, supported by a veteran-owned background and a dedicated robotics lab that advances unmanned systems. Its goal is to help government customers model, test, secure, and deploy advanced systems through a cohesive suite of engineering, analytics, and IT services.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2007

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