SCI with CI-Poly)

Vibrint•Springfield, VA

About The Position

Vibrint is hiring a Senior AI/ML Engineer to develop, integrate, and operationalize artificial intelligence and machine-learning capabilities for mission-critical national security work. The role involves applying advanced analytics and AI techniques to complex mission or business problems, translating operational and technical requirements into scalable solutions, and integrating AI/ML with enterprise data, cloud platforms, applications, and mission systems. The engineer will take solutions from concept and prototyping through development and operational implementation, evaluate emerging technologies, and communicate technical concepts to engineering teams, mission stakeholders, customers, and senior leadership. The position requires an active TS/SCI clearance with a CI Poly and a bachelor's degree in a relevant technical field.

Requirements

At least 5 years of experience in artificial intelligence, machine learning, data science, or related software or data engineering disciplines.
Strong proficiency in Python and common AI/ML frameworks and libraries for model development, training, evaluation, and deployment.
Demonstrated ability to develop machine-learning solutions for classification, predictive analytics, anomaly detection, computer vision, natural language processing, or similar applications.
Hands-on knowledge of the AI/ML lifecycle, including data preparation, feature engineering, model training, validation, testing, optimization, and deployment.
Ability to build and integrate data pipelines for structured and unstructured data.
Working knowledge of modern AI architectures and techniques, including LLMs, RAG, agentic AI, neural networks, and transformers.
Proficiency deploying AI/ML in cloud or enterprise environments and integrating models with applications, platforms, or mission systems.
Familiarity with MLOps practices, including model lifecycle management, monitoring, versioning, reproducibility, and automated deployment.
Ability to translate complex mission or technical requirements into scalable AI/ML solutions and communicate technical concepts to diverse audiences.
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Mathematics, Statistics, or a related technical field.
Active TS/SCI with a CI Poly.
Ability to apply advanced analytics and AI techniques to complex, ambiguous mission or business problems.
Strong communication skills and ability to work across engineering teams, mission stakeholders, customers, and senior leadership.
Understanding of the technical, operational, and security considerations involved in deploying AI/ML capabilities in defense or intelligence environments.

Nice To Haves

Background supporting Intelligence Community, DoD, national security, or other Federal Government missions.
Applied AI/ML knowledge in cybersecurity, GEOINT, threat intelligence, mission analytics, or related defense and intelligence use cases.
Familiarity with cloud-based AI/ML development using AWS, Azure, or Google Cloud Platform.
Knowledge of data engineering technologies such as ETL, data lakes or warehouses, SQL, Spark/Hadoop, Databricks, or graph databases.
Exposure to containerized AI/ML applications and scalable cloud or enterprise deployments.
Understanding of secure and responsible AI, AI governance, model risk, and security considerations for sensitive environments.
Background in AI/ML research and development, rapid prototyping, or transitioning emerging technologies into operational capabilities.
AI/ML, data science, cloud, cybersecurity, or related technical certifications.

Responsibilities

Develop machine-learning solutions for applications such as classification, predictive analytics, anomaly detection, computer vision, and natural language processing.
Manage the AI/ML lifecycle, including data preparation, feature engineering, model training, validation, testing, optimization, and deployment.
Build and integrate data pipelines to ingest, transform, validate, and prepare structured and unstructured data.
Deploy AI/ML capabilities in cloud or enterprise environments and integrate models with applications, platforms, or mission systems.
Apply AI/ML techniques to complex, ambiguous mission or business problems and translate operational requirements into scalable architectures.
Evaluate emerging technologies, develop proofs of concept, and identify practical applications for new AI capabilities.
Take AI/ML solutions from concept and prototype through development and operational implementation.
Communicate technical concepts and collaborate with engineering teams, mission stakeholders, customers, and senior leadership.