MLOPs Engineer (CVT - 007)

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

Job Description:

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

Required Qualifications:

-5+ years of experience with Object-Oriented Programming (OOP), including in Python -5+ years of experience developing containerized applications, including API design and authentication -5+ years of experience developing software using cloud technologies, including AWS -5+ years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring -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 CS or Software Engineering -Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire date

Preferred Qualifications:

-Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock, and IAM -Experience with Kubernetes -Experience with IaC tools such as 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 -Master’s degree -Security+ CE, SSCP, CCNA-Security, or GSEC Certification