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MLOps Engineer (AWS SageMaker | Terraform | GitLab CI/CD)

ICONMA

Role overview

Qualifications

  • 20.00 Years of Experience
  • AWS Admin
  • Experience in containerization using Docker
  • Proficiency in PySpark and integration with Snowflake

Responsibilities

  • Build and manage MLOps pipelines on AWS SageMaker
  • Implement CI/CD using GitLab for model build, test, and deployment
  • Use Terraform for infrastructure automation
  • Develop and manage data pipelines using PySpark and integrate with Snowflake

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

Links

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Job description

Our client, a IT Services and Consulting company, is looking for a MLOps Engineer (AWS SageMaker | Terraform | GitLab CI/CD) for their Charlotte, NC/ Atlanta, GA/Remote location.
 
Responsibilities:
  • Build and manage MLOps pipelines on AWS SageMaker (incl. SageMaker Domains)
  • Implement CI/CD using GitLab for model build, test, and deployment
  • Use Terraform for infrastructure automation
  • Containerize workloads using Docker and manage images via ECR
  • Design secure architectures using VPC, IAM, and SNS
  • Develop and manage data pipelines using PySpark and integrate with Snowflake
  • Implement model monitoring in SageMaker (drift, performance, alerts)
  • Ensure compliance, auditability, and governance (banking standards)
 
Requirements:
  • 20.00 Years of Experience
Skills:                                  
  • Category                             Name             Required       Importance      Experience
  • Data Mgt_Administration      AWS Admin    Yes                1                                  
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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