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Artificial Intelligence And Machine Learning Jobs in Silver Spring, MD

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Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for artificial intelligence and machine learning in Silver Spring, MD is $27.15, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $28.75 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Silver Spring, MD? For Artificial Intelligence And Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence And Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Artificial Intelligence And Machine Learning jobs? Cities near Silver Spring, MD with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $56,481 per year, or $27.2 per hour.

Artificial Intelligence and Machine Learning Subject Matter Expert

kgs

Arlington, VA โ€ข 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 Learningย  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.

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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.

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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 Clientโ€™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 Clientโ€™s internal and external stakeholders to identify new mission-focused problems that can be solved with artificial intelligence and machine learning capabilities.ย  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.ย 
  • 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:ย 

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

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Office Location and Travel:

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

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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 atย accommodations@koniag-gs.comย or by calling 703-488-9377 to request accommodations.

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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 visitย www.koniag-gs.com.

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