MLOps Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Automate the creation of models on the analytical platform using MLOps.

• Implement CI/CD pipelines for continuous integration and delivery of code and models.

• Configure the governed process from Azure DevOps and integrate with other services.

⛳️ Requirements

• 2-3 years of experience as a DevOps specialist leading the creation of integration and continuous deployment pipelines with Azure DevOps.

• 3-5 years of experience as a Software Engineer or Systems Engineer.

• Experience with technologies: Azure DevOps (Boards, Pipelines, Repos, Test Plans, Artifacts), Azure (Key Vault, Managed Identities, Application Insights, Azure Monitor, App Service, Storage), Azure Machine Learning (Experiment Tracking, Model Registry, AML SDK v2, MLflow), IaC (Terraform, Databricks API, Bicep, Docker, Powershell, Scripting), QA & Testing (Kiuwan, JMeter, PyTest), Visual Studio Code, Git, GitFlow.

• Experience or knowledge in: Azure (Data Factory, Databricks, Azure Machine Learning, Cosmos DB, SQL Databases), Azure Machine Learning (AML Pipelines, AML Endpoints, AML Environments, AML Compute), Databricks (Delta Tables, Unity Catalog, Databricks Connect), Python Development (Click, Poetry, Pipx, Opencensus, Black, Pdb+, fastAPI).

🏝️ Benefits

• Negotiable salary band based on the experience provided.

• Immediate incorporation.