MLOps Engineer

Quantum Technologies LLC; Chantilly (VA); On-site; USD 80,000 - 107,000; Full time

Job summary

Quantum Technologies LLC is seeking an MLOps Engineer in Chantilly, VA for a 6-month engagement with possible extension. The role involves building and maintaining containerized applications and ML pipelines using AWS services, with a focus on ML lifecycle, CI/CD, and LLM tooling.

Ideal candidates have 5+ years in Python OOP, cloud tech, MLOps, and a TS/SCI clearance. A Bachelor's degree in CS or Software Engineering and security certification readiness within 6 months are preferred.

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

Skills

Python OOP

Containerization

AWS

MLOps

LLM tools

ML lifecycle

TS/SCI clearance

Security certifications

Education

Bachelor's degree in CS or Software Engineering

Tools

Kubernetes

Terraform

Helm

SageMaker

Lambda

API Gateway

DynamoDB

S3

Bedrock

IAM

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: MLOps Engineer

Location: Chantilly, VA

Duration: 6 Months + Extension

Bill Rate: $68/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

You Have:

• 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 sof tware 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
• TS/SCI clearance with a polygraph
• Bachelor's degree in CS or Sof tware Engineering
• Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire date

Nice If You Have:

• 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
• Security+ CE, SSCP, CCNA-Security, or GSEC Certification

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.