Senior MLOps / DevOps Engineer

Remote in Quincy, MA, US • Posted 4 hours ago • Updated 1 hour ago
Full Time
Part Time
On-site
Fitment

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Job Details

Skills

  • Telecommuting
  • Management
  • Workflow
  • Data Science
  • Scalability
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Kubernetes
  • Cloud Computing
  • Microsoft Azure
  • Databricks
  • Machine Learning Operations (ML Ops)
  • Terraform
  • Machine Learning (ML)
  • SANS
  • Innovation

Summary

Inspiration Global is seeking a Senior MLOps/DevOps Engineer to support the design, implementation, and maintenance of scalable ML and data platform solutions on Azure.

This role will drive best practices in CI/CD, Kubernetes-based deployments, and MLOps, enabling reliable and efficient model development and deployment.

Work Location: Telework 100% Remote EST Hours



Key Responsibilities:

CI/CD pipeline design and automation using Azure DevOps

Architect and manage Kubernetes (AKS) environments for ML workloads

Enable end-to-end MLOps workflows across Azure ML and Databricks

Partner with Data Science and Engineering teams to improve scalability, reliability, and security



Required Skills:

The candidate must have 12+ years experience.

Strong expertise in Azure DevOps, CI/CD, and Kubernetes (AKS)

Experience with Azure cloud, Azure ML, and Databricks

Solid understanding of MLOps and ML lifecycle in production environments




Nice to Have: Terraform, monitoring/observability tools, ML model serving frameworks.

Why Join Us?

At Inspiration Global, we are passionate about driving innovation and delivering cutting-edge digital solutions across industries. You ll be part of a collaborative, growth-oriented environment that encourages experimentation and continuous learning.

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.
  • Dice Id: 90994132
  • Position Id: OOJ - 1679-680-1776445625
  • Posted 4 hours ago
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