ML Ops Architect
Role: AI EngineerCompany: ScaleneWorks INC
Job description
Required Skills & Experience: • 10+ years of IT experience with 3+ years in ML Ops or ML Engineering roles. • Strong hands-on experience with: • Azure DevOps (Azure Repos, Pipelines) • AWS ML stack: SageMaker, Glue, Lambda, Step Functions, SNS, S3, Athena • Terraform for IaC • CloudWatch, EvidentlyAI for monitoring • Docker, ECR for image management • Deep understanding of ML model lifecycle management and CI/CD practices. • Proven ability to define enterprise-scale ML Ops frameworks and governance models. • Prior experience in working with ServiceNow for operational support workflows. • Strong communication and stakeholder management skills.
Requirements
• 10+ years of IT experience with 3+ years in ML Ops or ML Engineering roles
• Strong hands-on experience with:
• Azure DevOps (Azure Repos, Pipelines)
• AWS ML stack: SageMaker, Glue, Lambda, Step Functions, SNS, S3, Athena
• Terraform for IaC
• CloudWatch, EvidentlyAI for monitoring
• Docker, ECR for image management
• Deep understanding of ML model lifecycle management and CI/CD practices
• Proven ability to define enterprise-scale ML Ops frameworks and governance models
• Prior experience in working with ServiceNow for operational support workflows
• Strong communication and stakeholder management skills
SHARE THIS OPENING
Similar jobs
Job Type
Fulltime role
Skills required
Azure, Docker, CI/CD
Location
Columbus, Ohio
Salary
No salary information was found.
Date Posted
June 25, 2025
Similar jobs
ScaleneWorks INC
ScaleneWorks INC is seeking an experienced ML Ops Architect in Columbus, Ohio, with a strong background in ML engineering and cloud technologies. The ideal candidate will have extensive experience in Azure DevOps, AWS ML stack, and CI/CD practices.
