Onebridge

ML Infrastructure Engineer, Azure AI

Onebridge

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLPythonScalaSQL

About the role

  • Lead the design, deployment, and maintenance of Azure AI infrastructure and ML platforms, ensuring scalability, compliance, and reliability
  • Build and manage data pipelines for ingesting, storing, and processing structured and unstructured datasets
  • Develop and maintain APIs and system integrations with enterprise platforms
  • Implement MLOps best practices, including CI/CD pipelines, model deployment workflows, and monitoring model performance in production
  • Collaborate with data scientists, compliance experts, and product owners to operationalize AI solutions and deliver actionable insights
  • Support dashboards, reporting, and analytics using BI tools to translate complex data into clear insights for business teams

Requirements

  • 5+ years of experience in data engineering, machine learning, or AI-focused roles
  • Proven experience delivering scalable AI/ML solutions using Azure AI, Azure ML, or AWS Bedrock
  • Hands-on experience designing and managing scalable cloud infrastructure and enterprise ML solutions
  • Strong programming skills in Python, SQL, and/or Scala
  • Expertise in building and optimizing data pipelines, ETL processes, and large-scale data integration workflows
  • Experience implementing MLOps practices, including CI/CD, model monitoring, and deployment best practices
  • Ability to deliver production-grade, testable code