Applied ML Scientist — Build Production AI Systems

AIToolboard; Arlington (TX); On-site; USD 99,000 - 225,000; Part time

Job summary

Booz Allen in Arlington, TX is seeking an Applied Data Scientist to design, develop and deploy AI-driven capabilities that operate in real-world environments.

The role requires 5+ years of ML/AI experience, production-grade Python, and experience with modern tools and cloud environments. You will work with clients to translate mission needs into technical solutions and deliver scalable AI systems.

Qualifications

• 5+ years developing ML/AI algorithms
• 5+ years deploying ML/AI in production
• 5+ years designing end-to-end ML pipelines
• Production-quality Python code
• Experience with structured and unstructured data at scale
• Linux or cloud environments
• Git, testing and CI/CD practices
• Ability to obtain Secret clearance
• Doctorate in Mathematics, Engineering, or STEM field

Responsibilities

• Design and implement ML models
• Build supporting data pipelines
• Deploy capabilities into production environments
• Collaborate with clients to translate needs into technical solutions
• Apply statistics, ML and software engineering to deliver end-to-end solutions

Skills

Python

ML pipelines

Production-quality code

Linux / Cloud environments

Git / CI/CD

Docker

Kubernetes

Spark

Kafka

Education

Doctorate in Mathematics / Engineering / STEM

Tools

Docker

Kubernetes

Spark

Kafka

Job description

Booz Allen in Arlington, TX is seeking an Applied Data Scientist to design, develop and deploy AI-driven capabilities that operate in real-world environments.

The role requires 5+ years of ML/AI experience, production-grade Python, and experience with modern tools and cloud environments. You will work with clients to translate mission needs into technical solutions and deliver scalable AI systems.