Role overview
Job Number: R0227821
MLOps Engineer, Senior
The Opportunity
:
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 analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That’s why we need you, an experienced machine learning engineer, to help us design and architect an MLOps platform in the Cloud that shortens the time it takes to get new capabilities from development to production, to support mission critical operations.
What you'll work on
- 4+ years of experience with Object-Oriented Programming (OOP), including in Python
- 4+ years of experience with developing containerized applications, including API design and authentication
- 3+ years of experience with developing software using cloud technologies, including AWS
- 3+ years of experience with leveraging MLOps platforms and Machine Learning (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
- Top Secret clearance
- HS diploma or GED
- Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date
What we're looking for
- Experience developing prompts, tools, and agents with LLMs
- Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM
- Experience with Kubernetes
- Experience with IaC tools like Helm and Terraform
- 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
- Bachelor’s degree preferred; Master’s degree a plus
- Security+ CE, SSCP, CCNA-Security, or GSEC Certification