AI/ML Platform Admin

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
10% Travel

Skills

Cost Management
Databricks
DevOps
Documentation
FOCUS
Machine Learning (ML)
API
Advanced Analytics
Agile
Artificial Intelligence
Collaboration
Data Security
Machine Learning Operations (ML Ops)
Management
Microsoft Azure
Optimization
Provisioning
RBAC
Regulatory Compliance
Scalability
Storage
Workflow
Kubernetes

Job Details

Title: AI/ML Platform Admin
Location: REMOTE (Occasional Travel to Chicago, IL)
Experience: 10+ Years Required

Job Description:

We are seeking an experienced AI/ML Platform Administrator / ML Engineer with deep expertise in advanced analytics infrastructure and enterprise-scale ML platforms. This hybrid role based in Chicago involves the design, administration, and optimization of machine learning platforms, with a focus on Azure ML, DevOps, and governance.

Key Responsibilities:
  • Administer and maintain ML infrastructure: Azure ML, Managed Kubernetes, Databricks, Storage, Key Vault

  • Manage and monitor AI & ML platform services including KHAI APIs, OpenAI Document Intelligence, etc.

  • Oversee platform compliance, security, IAM, and RBAC policies

  • Build and manage workflows in Azure DevOps

  • Monitor ML platform usage, performance, and reliability

  • Drive cost optimization, automations, upgrades, and patching strategies

  • Ensure platform reliability, scalability, and data security across MLOps pipelines

  • Collaborate with Data Scientists and Developers to optimize end-to-end ML workflows

Required Skills:
  • 10+ years of experience in ML Engineering, Platform Administration, or DevOps for ML

  • Deep hands-on expertise in Azure ML, Kubernetes, Key Vault, and Databricks

  • Experience working with AI & ML platform services (KHAI API, OpenAI integrations, etc.)

  • Strong understanding of IAM, RBAC, compliance, and enterprise security standards

  • Proficient in Azure DevOps, pipeline automation, and infrastructure monitoring

  • Demonstrated experience with cost management, resource provisioning, and environment optimization

  • Strong documentation and collaboration skills, especially in Agile/DevOps environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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