Overview
On Site
$130,000 - $140,000
Full Time
No Travel Required
Skills
AWS
Azure
Python
Ruby
Data Science
Job Details
Role: MLOps Engineer | Full-Time (on-site)
Work Authorization: USA ( GC-EAD only)
Location: Seattle, WA
Experience: 8-19 yrs
Role: Engineer
Desired Skills: AWS | Azure
Description:
- Strong hands-on and extensive experience in building enterprise-scale MLOps platforms.
- Experience in designing and implementing cloud solutions, build MLOps on cloud (AWS, Azure, or Google Cloud Platform)
- Performed extensive data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
- Experienced in data science model testing, validation, and test automation.
- Communicate with a team of data scientists, data engineers, and architects; document the processes.
- Proficient with programming languages like Python, Go, Ruby, or Bash.
- Good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Professional MLOps certifications
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