Data and AI Engineer

About the role

Design ETL/ELT pipelines from SAP, Oracle, Salesforce into lakehouses; build ML models and GenAI/RAG solutions; operationalize with MLOps on Azure/AWS/GCP. 4-6 years experience required.

Requirements

• 4-6 years in data engineering, ML engineering, or applied AI
• 2-3 production-grade data or AI projects end-to-end
• Global team experience is a plus

What you'll do

• Build scalable ETL/ELT pipelines into lakehouses
• Medallion architecture data products on Databricks
• Data quality, lineage, governance
• Build, deploy, monitor ML models
• Develop GenAI/LLM solutions incl. RAG
• MLOps CI/CD, drift monitoring
• Deploy on Azure/AWS/GCP

Where this was posted

• LinkedIn

  last seen 30m ago
  View on LinkedIn