AI/ML Engineer Lead

Skills

• Science
• DoD
• Electronic Warfare
• Data Mining
• Statistical Models
• Workflow
• Fusion
• IT Management
• Management
• Unsupervised Learning
• Intelligence Analysis
• Extract
• Transform
• Load
• API
• Predictive Analytics
• Decision Support
• Automated Testing
• Continuous Integration and Development
• Advanced Analytics
• Dashboard
• Data Analysis
• Technical Writing
• Performance Metrics
• Collaboration
• Cyber Security
• Research
• Leadership
• Python
• R • TensorFlow • PyTorch • scikit-learn • Keras • Probability • Mathematical Modeling • Data Manipulation • Pandas • NumPy • SQL • NoSQL • Database • Database Design • Data Visualization • matplotlib • Tableau • Analytical Skill • Conflict Resolution • Problem Solving • Communication • Mentorship • Security Clearance • Data Science • Computer Science • Mathematics • Statistics • Microsoft • Signals Intelligence • Data Processing • Distributed Computing • Apache Spark • Apache Hadoop • Deep Learning • Transformer • Natural Language Processing • Text Mining • Computer Vision • Image Processing • Geospatial Analysis • CGI • Machine Learning Operations (ML Ops) • Amazon Web Services • Microsoft Azure • Cloud Computing • Docker • Kubernetes • Analytics • Network Analysis • Time Series • Forecasting • Optimization • Algorithms • DevSecOps • Continuous Integration • Continuous Delivery • Machine Learning (ML) • Artificial Intelligence • Expect • Innovation • FOCUS • Government Contracts • Training And Development • Health Care • Finance • Science • DoD • Electronic Warfare • Data Mining • Statistical Models • Workflow • Fusion • IT Management • Management • Unsupervised Learning • Intelligence Analysis • Extract • Transform • Load • API • Predictive Analytics • Decision Support • Automated Testing • Continuous Integration and Development • Advanced Analytics • Dashboard • Data Analysis • Technical Writing • Performance Metrics • Collaboration • Cyber Security • Research • Leadership • Python • R • TensorFlow • PyTorch • scikit-learn • Keras • Probability • Mathematical Modeling • Data Manipulation • Pandas • NumPy • SQL • NoSQL • Database • Database Design • Data Visualization • matplotlib • Tableau • Analytical Skill • Conflict Resolution • Problem Solving • Communication • Mentorship • Security Clearance • Data Science • Computer Science • Mathematics • Statistics • Microsoft • Signals Intelligence • Data Processing • Distributed Computing • Apache Spark • Apache Hadoop • Deep Learning • Transformer • Natural Language Processing • Text Mining • Computer Vision • Image Processing • Geospatial Analysis • CGI • Machine Learning Operations (ML Ops) • Amazon Web Services • Microsoft Azure • Cloud Computing • Docker • Kubernetes • Analytics • Network Analysis • Time Series • Forecasting • Optimization • Algorithms • DevSecOps • Continuous Integration • Continuous Delivery • Machine Learning (ML) • Artificial Intelligence • Expect • Innovation • FOCUS • Government Contracts • Training And Development • Health Care • Finance•

Summary 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
• 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 analytical and problem-solving skills with ability to extract insights from complex datasets
• Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Demonstrated ability to lead technical teams and mentor junior data scientists

Desired:

• Active Top Secret clearance with SCI eligibility
• Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or related field
• Relevant industry certifications such as

AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified:

Azure AI Engineer

• Experience with intelligence community systems and intelligence data formats
• Knowledge of SIGINT, GEOINT, or Multi-INT data processing and analytics
• Experience with distributed computing fr.

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