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Job details

Staff Data & AI Engineer

Job Summary

A company is looking for a Staff Data & AI Platform Engineer, MLOps.

Key Responsibilities
  • Manage and mentor team members on advanced Azure ML, Databricks, MLflow, and Terraform implementations
  • Lead the implementation and optimization of AI platforms, including Azure OpenAI and Snowflake ML
  • Define long-term MLOps/LLMOps vision and drive platform roadmaps focused on scalability and compliance
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable
  • 8+ years of experience with Azure ML, Databricks, Terraform, and ML application deployment
  • Proven experience in MLOps/LLMOps architecture and AI platform development
  • Expertise in CI/CD pipeline design using GitHub Actions, Azure DevOps, and MLflow
  • Infrastructure as Code proficiency with Terraform for Azure ML and AWS provisioning

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
August 6, 2025

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