AI/ML Engineer Lead

CACI International Inc.; Maryland; On-site; USD 126,000 - 277,000; Full time

Job summary

CACI International Inc. is seeking an AI/ML Engineer Lead to drive advanced AI/ML solutions for DoD intelligence, electronic warfare, and cyber systems. You will architect pipelines, lead data science initiatives, and mentor teams to deliver automated analytics and decision support.

Responsibilities include deploying ML models, NLP, CV, and MLOps practices, while interfacing with engineers and government stakeholders to ensure secure, scalable implementations.

Qualifications

• Active security clearance required (Secret to start, TS/SCI desired).
• Minimum 10+ years of professional data science/AI/ML engineering experience.
• Proficiency in Python, R, or similar.
• Proven ability to deploy ML models in production environments.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong statistical, probabilistic, and mathematical modeling skills.

Responsibilities

• Design and develop ML models using supervised and unsupervised techniques.
• Implement NLP, computer vision, and deep learning solutions.
• Develop and maintain AI/ML data pipelines and MLOps workflows.
• Architect AI/ML pipelines for intelligence exploitation and automation.
• Lead technical teams and mentor junior data scientists.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Keras

Pandas

NumPy

SQL

NoSQL

NLP

CV

ML Ops

Communication

Leadership

Education

Master's degree in Computer Science/Data Science/Math/Statistics/Engineering

PhD (Desired) in Data Science/CS/Math/Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

MLflow

Kubeflow

Job description

Job Title: AI/ML Engineer LeadJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage 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 systemsLead data science initiatives including data mining, statistical modeling, and machine learning to extract insights from large structured and unstructured datasetsArchitect and implement AI/ML pipelines, MLOps workflows, and automated analytics solutions for intelligence exploitationDevelop Multi-INT data fusion capabilities, geospatial analytics, and intelligence processing automationLead the integration of AI/ML capabilities into mission applications and operational systemsProvide technical leadership and mentorship to data science and AI/ML engineering teamsInterface with systems engineers, software developers, and government stakeholders on AI/ML architecture and implementationResponsibilities:Design and develop machine learning models using supervised and unsupervised learning techniques for intelligence analysis and automationImplement natural language processing (NLP), computer vision, and deep learning solutions for intelligence data exploitationDevelop and maintain data pipelines using ETL processes, API integration, and distributed computing frameworksBuild predictive analytics models and decision support tools to enhance intelligence operations and mission effectivenessImplement MLOps best practices including model versioning, automated testing, continuous integration, and deployment automationApply statistical methods, graph algorithms, and advanced analytics to support intelligence objectivesDevelop data visualization dashboards and interactive analytics tools for intelligence analysts and operatorsWork with large-scale data architectures including SQL and NoSQL databases, data lakes, and cloud-based analytics platformsIntegrate AI/ML capabilities with intelligence data platforms and enterprise data fabricsConduct exploratory data analysis, feature engineering, and model validation to ensure accuracy and performanceDevelop technical documentation including model specifications, data science methodologies, and performance metricsCollaborate with cybersecurity teams to ensure secure AI/ML implementations and protect against adversarial attacksResearch emerging AI/ML technologies and recommend innovative solutions for intelligence modernizationPresent findings and recommendations to technical teams and senior leadershipQualifications:Required:Active Secret security clearance (required)Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related quantitative field10 + years of professional experience with data science and AI/ML engineeringStrong programming skills in Python, R, or similar languages commonly used in data science applicationsDemonstrated experience developing and deploying machine learning models in production environmentsExperience with ML frameworks and libraries such as TensorFlow, PyTorch , Scikit-learn, Keras , or similar platformsStrong understanding of statistical methods, probability theory, and mathematical modelingExperience with data manipulation and analysis using tools such as Pandas, NumPy, and SciPyKnowledge of SQL and NoSQL databases and experience with data querying and database designExperience with data visualization tools and techniques using tools such as Matplotlib, Seaborn, Tableau, or similar platformsStrong analytical and problem-solving skills with ability to extract insights from complex datasetsExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholdersDemonstrated ability to lead technical teams and mentor junior data scientistsDesired:Active Top Secret clearance with SCI eligibilityPh.D. in Data Science, Computer Science, Mathematics, Statistics, or related fieldRelevant industry certifications such as AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI EngineerExperience with intelligence community systems and intelligence data formatsKnowledge of SIGINT, GEOINT, or Multi-INT data processing and analyticsExperience with distributed computing frameworks such as Apache Spark, Hadoop, or DaskFamiliarity with deep learning architectures including CNNs, RNNs, LSTMs, and Transformer modelsExperience with natural language processing (NLP) and text analytics for intelligence documentsKnowledge of computer vision and image processing for geospatial or imagery intelligenceExperience with MLOps tools such as MLflow , Kubeflow, or similar platformsUnderstanding of cloud platforms such as AWS, Azure, or on-premises cloud solutions for AI/ML workloadsExperience with containerization technologies (Docker, Kubernetes) for model deploymentKnowledge of graph analytics and network analysis for intelligence applicationsExperience with time series analysis and forecasting methodsUnderstanding of reinforcement learning and optimization algorithmsFamiliarity with explainable AI (XAI) and model interpretability techniquesExperience with DevSecOps practices and CI/CD pipelines for AI/ML deploymentsKnowledge of adversarial machine learning and AI security considerationsPrevious experience supporting government program offices in defense or intelligence sectors-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 USDCACI 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.