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

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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 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 frameworks such as Apache Spark, Hadoop, or Dask

Familiarity with deep learning architectures including CNNs, RNNs, LSTMs, and Transformer models

Experience with natural language processing (NLP) and text analytics for intelligence documents

Knowledge of computer vision and image processing for geospatial or imagery intelligence

Experience with MLOps tools such as MLflow , Kubeflow, or similar platforms

Understanding of cloud platforms such as AWS, Azure, or on-premises cloud solutions for AI/ML workloads

Experience with containerization technologies (Docker, Kubernetes) for model deployment

Knowledge of graph analytics and network analysis for intelligence applications

Experience with time series analysis and forecasting methods

Understanding of reinforcement learning and optimization algorithms

Familiarity with explainable AI (XAI) and model interpretability techniques

Experience with DevSecOps practices and CI/CD pipelines for AI/ML deployments

Knowledge of adversarial machine learning and AI security considerations

Previous experience supporting government program offices in defense or intelligence sectors

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What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range :

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$126,100 - 277,300 USD

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.