Machine Learning Engineer

Azure ML Engineer (with Databricks Expertise)

Location : Remote / Hybrid (Flexible within LATAM or U.S. Time Zones)

Type : Contract / Full-time

Start Date : Immediate

Overview

We are looking for an experienced Azure Machine Learning Engineer with strong Databricks expertise to design, develop, and deploy scalable ML solutions in the cloud. You’ll work closely with data engineers, scientists, and business stakeholders to build end-to-end machine learning pipelines that drive actionable insights and measurable impact.

Responsibilities

• Build, deploy, and operationalize machine learning models using Azure Machine Learning Service and Databricks .
• Develop and automate ETL / ELT pipelines to support ML workflows (using ADF , ADLS , and Synapse ).
• Collaborate with data scientists to productionize notebooks , create reusable components, and enable model retraining and monitoring.
• Implement MLOps best practices — CI / CD for ML models, version control, model registry, and deployment pipelines.
• Optimize and tune Spark workloads in Databricks for performance and cost efficiency.
• Work with Azure DevOps or GitHub Actions for automated build and release processes.
• Ensure governance, security, and compliance across all ML artifacts and data pipelines.

Required Skills & Experience

Seniority level

Employment type

Job function

Industries

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