SCI with CI-Poly)

Vibrint•Springfield, VA

3d•$180,000 - $220,000

About The Position

Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. Working alongside many of the most talented professionals in public service, we work tirelessly to create and sustain new solutions and services that meet the stringent demands across a variety of customer missions. Our people know they will be doing work that matters at the heart of the national security mission, exploring new possibilities at the cutting edge of technology. They know they will be well-rewarded and recognized for their commitment. Our people know they will enjoy plentiful opportunities to grow, thrive, and have fun as a member of the Vibrint family. Join Vibrint, where your career is a priority, and your future is our shared goal.

Requirements

5+ years working in artificial intelligence, machine learning, data science, or related software/data engineering disciplines.
Strong proficiency in Python and common AI/ML frameworks and libraries used for model development, training, evaluation, and deployment.
Hands-on knowledge of the AI/ML lifecycle, including data preparation, feature engineering, model training, validation, testing, optimization, and deployment.
Working knowledge of modern AI architectures and techniques, including LLMs, RAG, agentic AI, neural networks, and transformers.
Familiarity with MLOps practices such as model lifecycle management, monitoring, reproducibility, and automated deployment.
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.

Nice To Haves

Background supporting Intelligence Community (IC), DoD, national security, or other Federal Government missions.
Applied AI/ML knowledge within 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/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 classification, predictive analytics, anomaly detection, computer vision, natural language processing, or similar applications.
Build and integrate data pipelines for ingesting, transforming, validating, and preparing structured and unstructured data.
Deploy AI/ML capabilities within cloud or enterprise environments and integrate models with applications, platforms, or mission systems.
Translate complex mission or technical requirements into scalable AI/ML solutions.
Communicate technical concepts to diverse audiences.
Take AI/ML solutions from concept and prototype through development and operational implementation.
Apply advanced analytics and AI techniques to complex, ambiguous mission or business problems.
Translate operational requirements into scalable architectures that integrate AI/ML with enterprise data, cloud platforms, and mission systems.
Evaluate emerging technologies, develop proofs of concept, and identify practical applications for new AI capabilities.
Work across engineering teams, mission stakeholders, customers, and senior leadership.
Understand the technical, operational, and security considerations associated with deploying AI/ML capabilities in defense or intelligence environments.