Shorten the time it takes to get new capabilities from development to production to support mission critical operations by designing and architecting an MLOps platform and frontier GenAI capabilities in the Cloud.
Requirements
4+ years of experience with OOP, including Python
4+ years of experience developing containerized applications, including API design and authentication
3+ years of experience developing using cloud technologies, preferably AWS
3+ years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
Experience developing prompts, tools, and agents with LLMs
Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM
Responsibilities
streamline our development lifecycle from development to production
integrate GenAI into cutting-edge development tools
build applications that leverage AI or ML models and GenAI to interact with a corpus of datasets
build an agentic orchestration framework
implement tools to accelerate AI or ML development
build and maintain Cloud software and infrastructure that supports machine learning across the enterprise
implement continuous integration and deployment to development, testing, and production environments
Other
TS/SCI clearance
HS diploma or GED
Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire
Security+ CE, SSCP, CCNA-Security, or GSEC Certification
