AI​/ML Engineer Lead

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 No

SQL 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 Tensor Flow, 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, Num Py, and Sci Py Knowledge  of SQL and No

SQL databases and experience with data querying and database design

Experience with data visualization tools and techniques using tools such as…