MLOPs Engineer (CVT - 007)

Annapolis, MD, US • Posted 6 days ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Systems Engineering
  • High Performance Computing
  • Data Analysis
  • Information Technology
  • Development Testing
  • Object-Oriented Programming
  • Python
  • Authentication
  • Amazon Web Services
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Management
  • Training
  • Machine Learning Operations (ML Ops)
  • Software Engineering
  • Amazon SageMaker
  • API
  • Amazon DynamoDB
  • Amazon S3
  • Kubernetes
  • Terraform
  • Machine Learning (ML)
  • Cloud Computing
  • Version Control
  • Git
  • Security+
  • Customer Engagement
  • SSCP
  • Cisco Certifications
  • GSEC
  • Law

Summary

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 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

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90906624
  • Position Id: 8f6669902cc0c063f44d661f421261b
  • Posted 6 days ago
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