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Artificial Intelligence Machine Learning Remote Jobs in West Virginia

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Technical Skills: * 5 years of experience in artificial intelligence, machine learning, data ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Technical Skills: * 5+ years of experience in artificial intelligence, machine learning, data ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Solution Architect - HIGLAS/HOM Program (CMS)

WV · Remote

$56.75 - $74.75/hr

Artificial Intelligence(AI) and Machine Learning (ML), Analytics & Automation * Identify and ... Remote. Candidates in the DMV area, strongly preferred. Clearance : Ability to obtain a Public ...

Data Reporting and Analytics Lead

WV · On-site +1

$169K - $229K/yr

... and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

New

Pega Developer SME

Clarksburg, WV · On-site +1

$55.25 - $72.25/hr

Clarksburg, WV (onsite preferred, remote work possible) Who are you? Security-cleared Professional ... Experience integrating Artificial Intelligence (AI) and Machine Learning (ML) into IT systems for ...

... intelligence, artificial intelligence, or related areas. Additional Position Information (if ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Senior Business Analyst | Active Secret clearance

WV · Remote

$83K - $107K/yr

The Naval Enterprise Service Desk (NESD) program is deploying a cognitive Artificial Intelligence ... Practical familiarity with AI/cognitive or machine learning concepts (or strong interest and ...

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Artificial Intelligence Machine Learning Remote information

What are some typical challenges faced by remote Artificial Intelligence/Machine Learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are Artificial Intelligence Machine Learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence/Machine Learning Engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.
What are popular job titles related to Artificial Intelligence Machine Learning Remote jobs in West Virginia? For Artificial Intelligence Machine Learning Remote jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Remote jobs in West Virginia look for? The top searched job categories for Artificial Intelligence Machine Learning Remote jobs in West Virginia are:
Infographic showing various Artificial Intelligence Machine Learning Remote job openings in West Virginia as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
AI Engineer - ICAM

AI Engineer - ICAM

GDIT

WV • Remote

$103K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 230 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

AI Platforms, Analytics, Predictive Analytics

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

As an AI Engineer for the ICAM program, you will be responsible for researching, designing, developing, and implementing Artificial Intelligence (AI) solutions that enhance Identity, Credential, and Access Management (ICAM) capabilities across the Department of War enterprise.You will work with identity architects, cybersecurity engineers, data analysts, software developers, and mission stakeholders to identify opportunities where AI can improve identity analytics, access governance, operational efficiency, cybersecurity, and decision support.This position is 100% remote.
MEANINGFUL WORK AND PERSONAL IMPACT:
This role will help establish and mature AI capabilities across the ICAM ecosystem by leveraging machine learning, generative AI, predictive analytics, natural language processing, and intelligent automation technologies. The AI Engineer will support the full lifecycle of AI initiatives from concept development and experimentation through production implementation and sustainment while ensuring compliance with DoW security requirements and responsible AI principles.
  • Design, develop, test, and implement AI and machine learning solutions supporting enterprise ICAM objectives.
  • Identify opportunities to improve identity governance, access management, onboarding processes, and operational workflows through AI-driven capabilities.
  • Develop predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data.
  • Support the implementation of Generative AI solutions, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to improve operational efficiency and user support.
  • Analyze large volumes of authentication, authorization, audit, entitlement, and access governance data to identify trends, risks, and actionable insights.
  • Collaborate with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services.
  • Evaluate emerging AI technologies and recommend solutions applicable to ICAM, Zero Trust, and cybersecurity use cases.
  • Develop proof-of-concepts, prototypes, and pilot programs to validate AI capabilities before enterprise adoption.
  • Support creation of AI governance processes, model validation procedures, and responsible AI controls.
  • Develop technical documentation, architecture artifacts, implementation plans, and operational procedures.
  • Participate in Agile development activities including sprint planning, backlog refinement, demonstrations, and retrospectives.
  • Collaborate with cybersecurity teams to ensure AI capabilities align with DoW security requirements, privacy protections, and risk management frameworks.
  • Support data preparation, feature engineering, model evaluation, tuning, and performance monitoring activities.
  • Provide technical leadership and subject matter expertise regarding AI technologies and industry best practices.
WHAT YOU'LL NEED TO SUCCEED (Required):
Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:Education & Experience: Bachelor's Degree and a minimum of 5 years' experience required. An additional 4 years of experience may be substituted in lieu of degree.Clearance: Minimum of an active Secret security clearance required.Certification: Minimum of an active CompTIA Security+ certification or higher or the ability to obtain certification within 60 days post hire.Technical Skills:
  • 5 years of experience in artificial intelligence, machine learning, data science, advanced analytics, or software engineering.
  • Experience designing, developing, or implementing enterprise AI solutions.
  • Strong experience with Python and AI/ML development frameworks.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, or equivalent technologies.
  • Experience developing and implementing Large Language Model (LLM) solutions, prompt engineering techniques, and Retrieval Augmented Generation (RAG) architectures.
  • Experience with natural language processing (NLP), semantic search, vector databases, and knowledge retrieval technologies.
  • Experience working with structured and unstructured datasets, data preparation, model training, and performance evaluation.
  • Understanding of statistical analysis, predictive modeling, classification, clustering, and anomaly detection techniques.
  • Experience integrating AI solutions with enterprise applications, APIs, and business processes.
  • Familiarity with Microsoft Azure AI Services, Azure OpenAI, AWS Bedrock, Anthropic, OpenAI, or equivalent AI platforms.
  • Proven track record supporting enterprise IT customers, preferably within DoW or Federal Government environments.
GDIT IS YOUR PLACE:
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
  • Growth: AI-powered career tool that identifies career steps and learning opportunities.
  • Support: An internal mobility team focused on helping you achieve your career goals.
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off.
  • Community: Award-winning culture of innovation and a military-friendly workplace.
OWN YOUR OPPORTUNITY:
  • Explore a career in program management at GDIT and you'll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results.
The likely salary range for this position is $146,200 - $197,800. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US