Evaluate the performance of Artificial Intelligence (AI) solutions using appropriate metrics and validation techniques. Conduct thorough testing to identify and address issues related to accuracy, robustness, and generalization of AI interfaces
Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems; includes data preprocessing, feature engineering, model training, validation, and evaluation
Provide insight to programming & implementation maturity; review of AI algorithms and models using programming languages such as Python, R, or TensorFlow
Support data analysis & visualization reviews: Analyze risks with large datasets to extract meaningful insights and patterns.
Provide insight to model deployment & integration: Support the approach and analysis with deploy trained models into production environments, ensuring scalability, reliability, and performance.
Develop guides and training materials for T&E of Artificial Intelligence. Update and teach T&E of Artificial Intelligence seminar
Required Qualifications
Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
15+ years of Test and Evaluation experience with a significant portion dedicated to AI testing and evaluation of complex systems
Artificial intelligence and/or machine learning experience with T&E interfaces
In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical techniques
Experience with data manipulation, analysis, and visualization libraries (e.g., NumPy, pandas, Matplotlib)
Familiarity with software development best practices, version control systems (e.g., Git), and Agile methodologies
Experience with natural language processing (NLP), computer vision, reinforcement learning, or other specialized areas of AI
Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization engine technologies (e.g., Docker, Kubernetes)
Experience with big data processing frameworks (e.g., Spark, Hadoop) and distributed computing
Desired Qualifications
Defense Acquisition University (DAU) or DHS Level III Test and Evaluation Certification or equivalent
Experience with DHS Acquisition Directives and Acquisition Lifecycle Framework (MD102/ALF)
Knowledge, understanding and/or experience with the DHS (or DoD equivalent) Test and Evaluation policies, procedures and best practices for conducting, monitoring, and reviewing operational test and evaluation
Clearance Requirements
Must possess active Secret clearance
Must be able to obtain DHS suitability
Physical Requirements
Must be able to remain in a stationary position 50%
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.