Job Title: AI/ML Engineer Lead Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: Lead artificial intelligence and machine learning engineering efforts for Department of Defense intelligence, electronic warfare, and cyber systems. As an AI/ML Engineer Lead, you will: Develop and implement advanced AI/ML algorithms, predictive analytics, and decision support capabilities for intelligence and mission systems Lead data science initiatives including data mining, statistical modeling, and machine learning to extract insights from large structured and unstructured datasets Architect and implement AI/ML pipelines, MLOps workflows, and automated analytics solutions for intelligence exploitation Develop Multi-INT data fusion capabilities, geospatial analytics, and intelligence processing automation Lead the integration of AI/ML capabilities into mission applications and operational systems Provide technical leadership and mentorship to data science and AI/ML engineering teams Interface with systems engineers, software developers, and government stakeholders on AI/ML architecture and implementation Responsibilities: Design and develop machine learning models using supervised and unsupervised learning techniques for intelligence analysis and automation Implement natural language processing (NLP), computer vision, and deep learning solutions for intelligence data exploitation Develop and maintain data pipelines using ETL processes, API integration, and distributed computing frameworks Build predictive analytics models and decision support tools to enhance intelligence operations and mission effectiveness Implement MLOps best practices including model versioning, automated testing, continuous integration, and deployment automation Apply statistical methods, graph algorithms, and advanced analytics to support intelligence objectives Develop data visualization dashboards and interactive analytics tools for intelligence analysts and operators Work with large-scale data architectures including SQL and NoSQL databases, data lakes, and cloud-based analytics platforms Integrate AI/ML capabilities with intelligence data platforms and enterprise data fabrics Conduct exploratory data analysis, feature engineering, and model validation to ensure accuracy and performance Develop technical documentation including model specifications, data science methodologies, and performance metrics Collaborate with cybersecurity teams to ensure secure AI/ML implementations and protect against adversarial attacks Research emerging AI/ML technologies and recommend innovative solutions for intelligence modernization Present findings and recommendations to technical teams and senior leadership Qualifications: Required: Active Secret security clearance (required) Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related quantitative field 10 + years of professional experience with data science and AI/ML engineering Strong programming skills in Python, R, or similar languages commonly used in data science applications Demonstrated experience developing and deploying machine learning models in production environments Experience with ML frameworks and libraries such as TensorFlow, PyTorch , Scikit-learn, Keras , or similar platforms Strong understanding of statistical methods, probability theory, and mathematical modeling Experience with data manipulation and analysis using tools such as Pandas, NumPy, and SciPy Knowledge of SQL and NoSQL databases and experience with data querying and database design Experience with data visualization tools and techniques using tools such as Matplotlib, Seaborn, Tableau, or similar platforms Strong a