AI/ML Engineer Level 2

Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.

At Markon, we don't just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.

Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.

Markon values people and the tremendous impact each individual can make - which is why we're consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation's most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients' missions.

Join us and make a meaningful impact.

Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.

Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

Markon is seeking an experienced AI / Machine Learning Engineer to design, develop, evaluate, and transition advanced AI and ML solutions into scalable, operational systems for our Fort Meade Customer. This role focuses on applying statistical analysis and machine learning techniques, overseeing testing and evaluation, and ensuring model performance, reliability, and integration within mission-focused environments.

Research, design, and implement a broad range of AI and machine learning algorithms and tools.
• Select and curate appropriate data sets and data representations to support model development.
• Perform statistical analysis to inform model design and performance evaluation.
• Develop, train, retrain, and optimize machine learning models using frameworks such as PyTorch and TensorFlow.
• Execute test and evaluation protocols to verify and validate AI/ML algorithms through iterative design cycles.
• Use evaluation results to refine models and improve accuracy, robustness, and performance.
• Provide system integration oversight to ensure AI/ML solutions transition successfully into production environments.
• Transform data science prototypes into scalable, maintainable, and operational solutions.
• Verify data integrity, model outputs, and performance quality.
• Identify and address data distribution shifts and other factors that impact model performance over time.
• Apply knowledge of software architecture, data modeling, and data structures to support enterprise integration.

Required Qualifications

• Active TS/SCI w/ Polygraph with this Customer.
• Master's degree or PhD with 5+ years of relevant experience in AI, machine learning, or data science.
• Hands-on experience with machine learning frameworks such as PyTorch and TensorFlow.
• Strong background in statistical analysis and machine learning algorithm development.
• Experience working with a variety of ML libraries and packages.
• Demonstrated experience supporting test, evaluation, verification, and validation (TEVV) of AI/ML systems.
• Ability to transition models from research or prototype environments into scalable production systems.

Preferred Qualifications

• Experience integrating AI/ML solutions into mission or enterprise systems.
• Familiarity with model monitoring, drift detection, and performance degradation analysis.
• Experience working in classified, regulated, or high-reliability environments.