Tier 3 MLOPs Engineer

Booz Allen Hamilton•Chantilly, VA

2d•$55,200 - $126,000•Remote

About The Position

Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the Intelligence Community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytic skills? As a Tier 3 MLOps Engineer on our team, you will work with a collaborative Agile development team to manage Tier 3 incidents and help build and maintain Cloud software and infrastructure that supports machine learning and AI across our program. This is an opportunity to broaden your skill set into areas such as Agile development, Cloud-based development, and building internal knowledge base articles and escalation paths for operational triage, while troubleshooting software for national security. As a machine learning Tier 3 engineer, you’ll identify solutions for complex problems and help your customers meet their toughest challenges. Join our team as we build tools to transform the future of the IC. Join us. The world can’t wait.

Requirements

2+ years of experience in generative AI concepts and technologies such as Claude, GPT, and Gemini
2+ years of experience working in a system administrations operations environment
2+ years of experience in working with Tier II and Tier III support and handling the incident management workflow
2+ years of experience working with test and evaluation
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
Ability to translate between technical and non-technical users and developers
TS/SCI clearance with a polygraph
Bachelor’s degree or 4+ years of experience in a system administrations operations environment
Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date

Nice To Haves

Experience with Python, AWS, Kubernetes, and IaC tools like Helm and Terraform
Experience developing prompts, tools, and agents with LLMs
Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment
Experience with version control tools, including Git
Possession of excellent verbal and written communication skills
Security+ CE, SSCP, CCNA-Security, or GSEC Certification

Responsibilities

Manage Tier 3 incidents
Build and maintain Cloud software and infrastructure that supports machine learning and AI across our program
Broaden skill set into areas such as Agile development, Cloud-based development, and building internal knowledge base articles and escalation paths for operational triage
Troubleshoot software for national security
Identify solutions for complex problems
Help customers meet their toughest challenges