ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs in Silver Spring, MD

previous pagenext page

Showing results 21-40

All JobsAssociate Artificial Intelligence Machine Learning JobsAssociate Artificial Intelligence Machine Learning Jobs in Silver Spring, MD

Associate Artificial Intelligence Machine Learning information

See Silver Spring, MD salary details

$32.6K

$137.6K

$325.1K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for associate artificial intelligence machine learning in Silver Spring, MD is $137,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $208,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Silver Spring, MD? The most popular types of Artificial Intelligence Machine Learning jobs in Silver Spring, MD are:
What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD? For Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD are:
Associate Artificial Intelligence Machine Learning jobs near you
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $137,556 per year, or $66.1 per hour.

Artificial Intelligence and Machine Learning Subject Matter Expert

kgs

Arlington, VA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Koniag Emerging Technologies, LLC, a Koniag Government Services company, is seeking an Artificial Intelligence and Machine Learning  Subject Matter Expert with a TS/SCI security clearance to support KPS and our government customer at the Pentagon, Arlington, VA.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

 

The Artificial Intelligence and Machine Learning Subject Matter Expert will support the Department of War, Office of the Under Secretary of War for Research and Engineering (OUSW (R&E)), CDAO Maven Smart Systems (MSS) Program Office.

 

Essential Functions, Responsibilities & Duties may include, but are not limited to:

  • Assist Government Clients with planning and overseeing AI/ML efforts on both a small and large scale.
  • Provides Subject Matter Expertise for the design, development or selection, and deployment of artificial intelligence technologies and tools in support of the Government.
  • Provide technical consultative advisement for all artificial intelligence and machine learning technology systems, processes, software design and development projects and initiatives.
  • Leverages commercial industry expertise for the development or selection and delivery of artificial intelligence and machine learning technology solutions for operational users.
  • Provides advisement and consultation on the Client’s artificial intelligence and machine learning strategy for technology platforms, partnerships, and external relationships.
  • Applies extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, and techniques to design and enhance the design of existing technical specifications that need to be deployed for artificial intelligence and machine learning technology solutions.
  • Provides consultation and advisement on the development, engineering, and integration of artificial intelligence and machine learning-based technological capabilities.
  • Provide expertise in the implementation and engineering support of artificial intelligence and machine learning systems to include solving relevant technical and programmatic problems and assessing the technical feasibility of commercial solutions.
  • Collaborates with other Technical Experts across the Client’s internal and external stakeholders to identify new mission-focused problems that can be solved with artificial intelligence and machine learning capabilities.  Leverages best practice research to develop and recommend artificial intelligence and machine learning technology solutions and business cases.
  • Provides technical expertise to assist the Client and their internal and external stakeholders with identifying and applying the operational value and outcomes of artificial intelligence and machine learning technologies across their organizations.
  • Prepares technical documentation, white papers, briefings, and implementation plans in support of the Government.
  • Conducts exercise planning and execution to evaluate software functionality and performance.
  • Plans and participates in user engagement events with military personnel and industry representatives.
  • Generates key performance indicators, measures of performance, and success criteria for use in software testing and validation.
  • Supports scenario development based on understanding of adversarial forces and current Joint Military Doctrine for phased product development, demonstration, and experimentation.
  • Responsible for the technical integrity of work performed and deliverables associated with the systems engineering area of responsibility.
  • Assist other team members in other specialties as needed to accomplish the overall mission.

Requirements:

  • 15+ years of relevant experience
  • Experience with or a strong understanding of Military Operations Center (MOC, COC, CEC) operations and procedures.
  • Knowledge of and experience with the Find, Fix, Track, Target, Engage, Assess (F2T2EA) targeting process.
  • Experience with Joint Military exercise planning and execution.
  • Strong understanding of Joint U.S. Military Doctrine, military technologies, and current operations.
  • Strong understanding of major U.S. adversaries, adversarial doctrine, and military technology.
  • Experience with quantitative and qualitative technical evaluation of software and services.
  • Deep systems engineering comprehension of the state of the art in large and small AI/ML implementations and the respective best practices and challenges.
  • Commercial industry experience in developing Artificial Intelligence and Machine Learning technology strategies and solutions for the Federal government; a state or local government; or a large corporation. 
  • Extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologies
  • Experience defining and developing new artificial intelligence and machine learning technology solution and tool.
  • Experience with DoD Data Policy, FedRAMP Impact Levels, and management of classified data sets.
  • Experience managing complex technology projects for cross-functional teams
  • Strong writing and briefing skills to present technical information clearly to non-technical audiences.
  • Demonstrates excellent oral and written communication skills, a high level of integrity, critical thinking, and leadership
  • Must be a self-starter that can recognize needs and act with little to no guidance
  • Advanced MS Word, PowerPoint, Excel, and Outlook application skills

Education:

  • Bachelors Degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Engineering, Software Engineering, Mathematics, Operations Research, or related field.

Clearance Requirement: 

  • To be considered, must have a Current/Active TS/SCI security clearance

 

Office Location and Travel:

  • Arlington, VA
  • Occasional travel in support of the Government Customer with advance notification

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

 

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

Apply