Is the Senior DevOps ML Engineer position at Madiff fully remote?

Yes, this Senior DevOps ML Engineer position at Madiff is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Senior DevOps ML Engineer role?

This is a full-time Senior DevOps ML Engineer position at Madiff.

What are the main requirements for the Senior DevOps ML Engineer role?

Key requirements include: Design, build, and maintain MLOps and DevOps infrastructure on Azure, Develop and optimize ML pipelines for deployment, monitoring, and governance, Work with Azure Databricks, MLflow, and Unity Catalog, and more.

What benefits does Madiff offer for this position?

Madiff offers the following benefits: Remote Work, Flexible Hours, Health Insurance, Paid Time Off, 401k Matching, Professional Development.

How do I apply for the Senior DevOps ML Engineer position at Madiff?

You can apply for this Senior DevOps ML Engineer position by clicking the "Apply Now" button on this page, which will take you to Madiff's application portal.

Senior DevOps ML Engineer at Madiff

Worldwide

This is a remote position.<\/p> We are looking for a Senior DevOps ML Engineer<\/span><\/b> to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure<\/b> — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence. <\/span><\/span> <\/div> <\/span><\/span> <\/div> Responsibilities<\/span><\/span><\/b> <\/span><\/span> <\/div> <\/span><\/span> <\/div> <ul> <li>Design, build, and maintain<\/span><\/span> <\/span><\/span><\/span><\/span>MLOps<\/span><\/span><\/span> <\/span><\/span><\/span>and DevOps infrastructure on Azure<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Develop and<\/span><\/span> <\/span><\/span><\/span><\/span>optimise<\/span><\/span><\/span> <\/span><\/span><\/span>ML pipelines for deployment, monitoring, and governance<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Work with Azure Databricks,<\/span><\/span> <\/span><\/span><\/span><\/span>MLflow<\/span><\/span><\/span>, and Unity Catalog<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Implement CI/CD pipelines and automated<\/span><\/span> <\/span><\/span><\/span><\/span>ModelOps<\/span><\/span><\/span> <\/span><\/span><\/span>workflows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Ensure data architecture supports governance, lineage, and schema evolution<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Apply Infrastructure as Code using Terraform<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Collaborate closely with AI engineers and data teams to support production ML systems<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Monitor and ensure platform stability, performance, security, and compliance<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Support operational readiness of ML workloads in regulated environments<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span> <\/span><\/li> <\/ul> <\/div> <\/div><\/span> <h3>Requirements<\/h3> <ul> <li>Strong<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>hands-on<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>experience<\/span><\/span><\/span> <\/span><\/span><\/span>with<\/span><\/span> <\/span><\/span><\/span><\/span>Azure<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>Databricks<\/span><\/span><\/span>,<\/span><\/span> <\/span><\/span><\/span><\/span>including<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>MLflow<\/span><\/span><\/span> <\/span><\/span><\/span>and Unity<\/span><\/span> <\/span><\/span><\/span><\/span>Catalog<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Proven background in DevOps or<\/span><\/span> <\/span><\/span><\/span><\/span>MLOps<\/span><\/span><\/span> <\/span><\/span><\/span>for AI / ML platforms<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Solid experience with Azure Cloud services<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Hands-on CI/CD and pipeline automation experience<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Infrastructure as Code<\/span><\/span> <\/span><\/span><\/span>expertise<\/span><\/span> <\/span><\/span><\/span>using Terraform<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Strong understanding of data governance, access control, and compliance principles<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Confident English for daily cooperation with international stakeholders<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span> <\/li> <\/ul> <\/span><\/span> <\/div> Nice to have<\/span><\/span><\/b><\/span> <\/span><\/span> <\/div> <\/span><\/span> <\/div> <\/div> <ul> <li>Python<\/span><\/span><\/span> <\/span><\/span><\/span>development<\/span><\/span> <\/span><\/span><\/span><\/span>or<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>scripting<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>experience<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Docker and Kubernetes knowledge<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Exposure to Generative AI or broader ML workflows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/li> <li>Experience working in insurance or other regulated environments<\/span><\/span><\/span><\/span> <\/span><\/span><\/span> <\/span><\/span><\/span><\/span> <\/li> <\/ul> <\/div><\/span> <h3>Benefits<\/h3> <ul> <li>Solid, competitive salary<\/span><\/span><\/span> <\/span><\/span> <\/span><\/span><\/li> <li>Work in multinational environment on international projects<\/span><\/span><\/span> <\/span><\/span> <\/span><\/span><\/li> <li>Comprehensive healthcare<\/span><\/span><\/span> <\/span><\/span> <\/span><\/span><\/li> <li>Long-term B2B contract with stable project pipeline<\/span><\/span><\/span> <\/span><\/span> <\/span><\/span><\/li> <li>Fully remote model<\/span><\/span><\/span> <\/span><\/span> <\/span> <\/li> <\/ul> <\/div><\/span> <\/body> <\/html></li></li></li></li></li></ul></h3></li></li></li></li></ul></li></li></li></li></li></li></li></ul></h3></li></li></li></li></li></li></li></li></li></ul>

Apply Now

Remote Opportunity

Senior DevOps ML Engineer

Join Madiff as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Senior DevOps ML Engineer

Madiff

Full Time

$120,000 - $180,000*

9 months ago

This is a remote position.<\/p> We are looking for a Senior DevOps ML Engineer<\/span><\/b> to support a long-term enterprise AI platform focused on production-grade ML workloads.

Worldwide

Senior

Azure

Python

DevOps

+4 more

Job Description

This is a remote position.<\/p> We are looking for a Senior DevOps ML Engineer<\/span><\/b> to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure<\/b> — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence.
<\/span><\/span> <\/div>
<\/span><\/span> <\/div> Responsibilities<\/span><\/span><\/b>
<\/span><\/span> <\/div>
<\/span><\/span> <\/div>

Design, build, and maintain<\/span><\/span> <\/span><\/span><\/span><\/span>MLOps<\/span><\/span><\/span> <\/span><\/span><\/span>and DevOps infrastructure on Azure<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Develop and<\/span><\/span> <\/span><\/span><\/span><\/span>optimise<\/span><\/span><\/span> <\/span><\/span><\/span>ML pipelines for deployment, monitoring, and governance<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Work with Azure Databricks,<\/span><\/span> <\/span><\/span><\/span><\/span>MLflow<\/span><\/span><\/span>, and Unity Catalog<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Implement CI/CD pipelines and automated<\/span><\/span> <\/span><\/span><\/span><\/span>ModelOps<\/span><\/span><\/span> <\/span><\/span><\/span>workflows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Ensure data architecture supports governance, lineage, and schema evolution<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Apply Infrastructure as Code using Terraform<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Collaborate closely with AI engineers and data teams to support production ML systems<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Monitor and ensure platform stability, performance, security, and compliance<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Support operational readiness of ML workloads in regulated environments<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span>
<\/span><\/li> <\/ul> <\/div>
<\/div><\/span>
Requirements<\/h3>

Strong<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>hands-on<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>experience<\/span><\/span><\/span> <\/span><\/span><\/span>with<\/span><\/span> <\/span><\/span><\/span><\/span>Azure<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>Databricks<\/span><\/span><\/span>,<\/span><\/span> <\/span><\/span><\/span><\/span>including<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>MLflow<\/span><\/span><\/span> <\/span><\/span><\/span>and Unity<\/span><\/span> <\/span><\/span><\/span><\/span>Catalog<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Proven background in DevOps or<\/span><\/span> <\/span><\/span><\/span><\/span>MLOps<\/span><\/span><\/span> <\/span><\/span><\/span>for AI / ML platforms<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Solid experience with Azure Cloud services<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Hands-on CI/CD and pipeline automation experience<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Infrastructure as Code<\/span><\/span> <\/span><\/span><\/span>expertise<\/span><\/span> <\/span><\/span><\/span>using Terraform<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Strong understanding of data governance, access control, and compliance principles<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Confident English for daily cooperation with international stakeholders<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span>
<\/li> <\/ul>
<\/span><\/span> <\/div> Nice to have<\/span><\/span><\/b><\/span>
<\/span><\/span> <\/div>
<\/span><\/span> <\/div> <\/div>

Python<\/span><\/span><\/span> <\/span><\/span><\/span>development<\/span><\/span> <\/span><\/span><\/span><\/span>or<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>scripting<\/span><\/span><\/span> <\/span><\/span><\/span><\/span>experience<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Docker and Kubernetes knowledge<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Exposure to Generative AI or broader ML workflows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span><\/li>
Experience working in insurance or other regulated environments<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
<\/span><\/span><\/span><\/span>
<\/li> <\/ul> <\/div><\/span>
Benefits<\/h3>

Solid, competitive salary<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/li>
Work in multinational environment on international projects<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/li>
Comprehensive healthcare<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/li>
Long-term B2B contract with stable project pipeline<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/li>
Fully remote model<\/span><\/span><\/span> <\/span><\/span>
<\/span>
<\/li> <\/ul> <\/div><\/span>
<\/body> <\/html>

Requirements

Design, build, and maintain MLOps and DevOps infrastructure on Azure
Develop and optimize ML pipelines for deployment, monitoring, and governance
Work with Azure Databricks, MLflow, and Unity Catalog
Implement CI/CD pipelines and automated ModelOps workflows
Ensure data architecture supports governance, lineage, and schema evolution

Benefits

Remote Work
Flexible Hours
Health Insurance
Paid Time Off
401k Matching
Professional Development

Skills

Azure

Python

DevOps

Azure Databricks

MLflow

MLOps

Unity Catalog

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Madiff today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 9 months ago

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