MLOPs Engineer (CVT - 007)

SageCor Solutions; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

SageCor Solutions LLC in Maryland and the Greater Washington D.C. area is seeking an experienced software engineer to design, build, and maintain cloud-based software and infrastructure powering enterprise-wide ML initiatives.

You will implement and refine CI/CD workflows across development, test, and production environments, and collaborate to architect new solutions, enhance pipelines, and guide mission partners.

Qualifications

• 5+ years of experience with OOP, including 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.

Responsibilities

• 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

Skills

OOP

Python

Containerization

API design

Cloud AWS

MLOps

ML CI/CD

LLMs tooling

ML lifecycle knowledge

Security+ prep

Education

Bachelor's degree in CS or Software Engineering

Master’s degree

Tools

AWS SageMaker

AWS Lambda

API Gateway

DynamoDB

S3

Bedrock

IAM

Kubernetes

Terraform

Helm

Git

Job description

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 andinfrastructure that powers enterprise-wide ML
• -Implement and refine CI/CD workflows across development, test, and production environments -
• -Identify opportunities to architect new solutions, enhance existingpipelines, and guide mission partners

Required Qualifications:

• -5+ years of experience with Object-Oriented Programming (OOP), including inPython
• -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 tomanage 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 Certificationwithin 6 months of hire date

Preferred Qualifications:

• -Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock, andIAM
• -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

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.