Senior DevOps Engineer – Azure & Databricks (AI/ML Focus)

The creative mind behind every project.  Put your skills to the test to build solutions that continue to shape the world we live in.  

This Job is only available for residents in Bulgaria or Malta.

About the role  

We are seeking a Senior DevOps Engineer with expertise in Azure Databricks and cloud-native AI/ML operations. You will be a key contributor to a next-generation AI platform built on Azure Databricks, enabling data scientists and engineers to train, deploy, monitor, and govern ML and GenAI models efficiently. This role blends MLOps best practices, cloud-native architecture, and Databricks expertise to ensure AI models are production-ready, scalable, and compliant with enterprise standards.   

Key Responsibilities 

• Design, implement, and optimize ML/AI pipelines for training, deployment, monitoring, and governance. 
• Leverage Azure Databricks capabilities including MLFlow for experiment tracking and Unity Catalog for data governance. 
• Build and maintain CI/CD pipelines as well as automated ModelOps workflows for AI/ML applications. 
• Ensure data architecture supports schema evolution, governance, and compliance requirements. 
• Operate in a cloud-native Azure environment to deliver robust and scalable ML solutions.
• Develop and maintain Powershell scripts for automation including testing. 

Required Skills & Experience 

• Proven experience with Azure Databricks, including MLFlow and Unity Catalog. 
• Strong background in DevOps for ML/AI, including CI/CD and pipeline automation. 
• Solid understanding of data architecture, schema evolution, and governance principles. 
• Experience working in Microsoft Azure or similar cloud environments. 
• Hands-on experience with Infrastructure as Code (IaC) using Terraform. 

Nice to Have 

• High-level understanding of machine learning and generative AI concepts and workflows. 
• Solid knowledge of containerization (Docker) and orchestration (Kubernetes). 
• Experience in Python software development and scripting. 
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn in a Databricks environment. 

Why join us?

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about Acuity Analytics please see here: Read here.