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Ai Model Jobs in Virginia (NOW HIRING)

AI Engineer

VA ยท On-site

$152K/yr

Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation. ESSENTIAL FUNCTIONS 60% of job: Development

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

AI/ML Model Engineer

Mclean, VA ยท On-site

$120 - $190/hr

## AI/ML Model EngineerApplylocations: McLean, VAposted on: Posted Todayjob requisition id: R - 101578Position contingent upon contract awardAs the **AI/ML Model Engineer**, you will develop machine ...

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights. The role involves testing ...

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights.The role involves testing ...

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights. The role involves testing ...

AI/ML Engineering : - Engineer and scale AI-driven platforms to streamline data ingestion, exploration, triage, and advanced search functionalities. - Analyze and implement emerging AI model trends ...

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights.The role involves testing ...

Showing results 21-40

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What cities in Virginia are hiring for Ai Model jobs?

Cities in Virginia with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Virginia as of August 2026, with employment types broken down into 62% Full Time, 24% Part Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

$152K/yr

Full-time

Re-posted 19 days ago


Job description

JOB SUMMARY: Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation.
ESSENTIAL FUNCTIONS
60% of job: Development
  • Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.

  • Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
  • Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
  • Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% of job: Continuous Improvement
  • Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
  • Implement and maintain machine learning pipelines, from data preprocessing to model deployment.

  • Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of job: Leadership and Relationships
  • Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
  • Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

MINIMUM REQUIREMENTS
Education: Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field
Preferred Education: Master's Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field
Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles
Preferred Certifications:
  • Google Cloud Professional Data Engineer
  • Microsoft Certified Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning - Specialty

Behavioral Competencies:
  • Ability to analyze complex technical issues and create effective solutions
  • Ability to work cross-functionally with engineers, data scientists, and product teams
  • Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders
  • Open to new approaches and rapidly changing environments

Technical Competencies:
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Strong background in programming languages like Python, Java, or C++
  • Experience with big data tools and technologies (e.g., Hadoop, Spark)
  • Experience with automating AI model training, deployment pipelines, and optimization processes
  • Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP
  • Experience in data preprocessing, feature extraction, and transforming raw data into usable formats
  • Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud
  • Proficient in software development practices, version control (Git), and testing frameworks
  • Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms

ENVIRONMENT OR PHYSICAL WORKING CONDITIONS
General office conditions apply. Light travel required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.