MLOps Engineer
EEOC
full-time
Posted on:
Location Type: Hybrid
Location: Bethesda • Maryland • 🇺🇸 United States
Visit company websiteSalary
💰 $77,600 - $176,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudPySparkPython
About the role
- Build, configure, and maintain a robust MLOps platform in the Cloud
- Design and implement continuous integration and continuous deployment (CI/CD) workflows
- Work closely with an Agile development team
- Enhance and manage ML lifecycles
- Develop containerized applications
- Utilize distributed and cloud technologies such as Azure and Databricks
- Identify new opportunities to design and implement end-to-end automated data and ML pipelines
- Continuously evaluate and integrate new tools and technologies
Requirements
- 4+ years of experience with Object-Oriented Programming (OOP), including in Python or PySpark
- 3+ years of experience developing software using distributed and cloud technologies, including Azure and Databricks
- 3+ years of experience leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows
- Experience developing containerized applications, including API design and authentication
- Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
- Bachelor's degree
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Object-Oriented ProgrammingPythonPySparkMLOpsCI/CDcontainerized applicationsAPI designauthenticationML lifecycleautomated data pipelines
Soft skills
collaborationcommunicationproblem-solvingadaptabilityteamworkcritical thinkingtime managementattention to detailcreativityleadership
Certifications
Bachelor's degree