AI/ML DevOps Engineer - Hybrid (LA/NY)

Calance

Los Angeles (CA)

Hybrid

USD 140,000 - 190,000

Full time

25 hours ago
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Job summary

Calance is seeking an AI DevOps Engineer to design, implement, and manage automated deployment pipelines for AI/ML and agentic AI applications. The role focuses on Azure DevOps CI/CD pipelines across development, testing, staging, and production environments, with hybrid onsite work in Downtown Los Angeles or New York.

The candidate will own the deployment lifecycle, build reusable pipelines, and collaborate with AI/ML teams and infrastructure to ensure smooth, secure deployments on Azure and

Qualifications

  • Bachelor’s degree in computer science, information systems, engineering or related field.
  • At least five years’ experience in DevOps, cloud or platform/infrastructure engineering.
  • At least three years’ hands-on experience building and maintaining CI/CD pipelines with Azure DevOps.
  • Experience deploying containerized AI/ML and data-intensive apps on Azure and on-premises environments.

Responsibilities

  • Own the deployment lifecycle: build automation, testing, security validation, containerization, artifacts, release promotion, deployment verification, rollback.
  • Develop and maintain Azure DevOps YAML pipelines and reusable components per firm practices.
  • Collaborate with AI Software Engineers, ML Engineers, and other teams to align architecture and hosting requirements.
  • Partner with infrastructure teams to define environment requirements and provisioning.
  • Support deployments across Microsoft Azure and on-prem VMs/VDI environments.
  • Protect sensitive, confidential and proprietary information.

Skills

Azure DevOps
CI/CD Principles
Automation pipelines
Security validation
Infrastructure as code
Containerization
Release management

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure DevOps
CI/CD tooling

Job description

Calance is seeking an AI DevOps Engineer to design, implement, and manage automated deployment pipelines for AI/ML and agentic AI applications. The role focuses on Azure DevOps CI/CD pipelines across development, testing, staging, and production environments, with hybrid onsite work in Downtown Los Angeles or New York.

The candidate will own the deployment lifecycle, build reusable pipelines, and collaborate with AI/ML teams and infrastructure to ensure smooth, secure deployments on Azure and

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