Hybrid Senior MLOps Engineer

Posted 2 weeks ago

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About the role

  • Design and architect an MLOps platform in the Cloud to support mission critical operations
  • Streamline our development life cycle from development to production
  • Work with a collaborative Agile development team to build and maintain Cloud software and infrastructure that supports machine learning
  • Implement continuous integration and deployment to development, testing, and production environments
  • Identify new opportunities to build solutions and architecture to help customers meet their toughest challenges

Requirements

  • 4+ years of experience with Object-Oriented Programming (OOP), including in Python
  • 4+ years of experience with developing containerized applications, including API design and authentication
  • 3+ years of experience with developing software using cloud technologies, including AWS
  • 3+ years of experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring
  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
  • Top Secret clearance
  • HS diploma or GED
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program

Job title

Senior MLOps Engineer

Job type

Experience level

Senior

Salary

$99,000 - $225,000 per year

Degree requirement

High School Diploma

Tech skills

Location requirements

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