MLOps Engineer

What you'll do

• Design and architect an MLOps platform in the cloud to accelerate the transition of ML capabilities from development to production.
• Build and maintain cloud software and infrastructure to support machine learning across the enterprise.
• Implement CI/CD pipelines for development, testing, and production environments.
• Manage datasets, model training, deployment, and monitoring using MLOps platforms and workflows.
• Develop prompts, tools, and agents utilizing Large Language Models (LLMs).
• Build, containerize, and deploy end-to-end automated data and ML pipelines within a cloud environment.
• Identify new opportunities to create solutions and architectures that address complex customer challenges.

What we're looking for

• TS/SCI clearance with polygraph.
• Ability to obtain Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire.
• Bachelor’s degree and 2+ years of experience in AI/ML engineering, or 4+ years of experience in AI/ML engineering in lieu of a degree.
• 2+ years of experience with Object-Oriented Programming (OOP), including in Python.
• 2+ years of experience developing containerized applications, including API design and authentication.
• 2+ years of experience developing software using cloud technologies, including AWS.
• 2+ years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring.
• 2+ years of experience developing prompts, tools, and agents with LLMs.