MLOPs Engineer (CVT - 007)

SageCor Solutions • Annapolis Junction, MD

7d

About The Position

SageCor Solutions is seeking an MLOPs Engineer to design, build, and maintain cloud-based software and infrastructure that powers enterprise-wide machine learning. The role implements and refines CI/CD workflows across development, test, and production environments, identifies opportunities to architect new solutions and enhance existing pipelines, and guides mission partners. An active TS/SCI with Polygraph is required.

Requirements

• Active TS/SCI with Polygraph.
• At least 5 years of experience with object-oriented programming, including Python.
• At least 5 years of experience developing containerized applications, including API design and authentication.
• At least 5 years of experience developing software using cloud technologies, including AWS.
• At least 5 years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring.
• At least 5 years of experience developing prompts, tools, and agents with LLMs.
• Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem.
• Bachelor’s degree in Computer Science or Software Engineering.
• Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire.

Nice To Haves

• Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock, and IAM.
• Experience with Kubernetes.
• Experience with infrastructure-as-code tools such as Helm and Terraform.
• Experience designing and implementing end-to-end automated data and ML pipelines within a cloud environment, including building, containerizing, and deploying them.
• Experience with version control tools, including Git.
• Master’s degree.
• Security+ CE, SSCP, CCNA-Security, or GSEC certification.

Responsibilities

• Design, build, and maintain cloud-based software and infrastructure that powers enterprise-wide machine learning.
• Implement and refine CI/CD workflows across development, test, and production environments.
• Identify opportunities to architect new solutions and enhance existing pipelines.
• Guide mission partners.

What This Job Offers

• Job Type: Full-time