- A strong background in software engineering principles is required for this position.
- Experience working with large-scale data systems is also necessary.
Cloud Data Science Architect - Guerrero - beBeeMachine
Título del trabajo: MLOps Engineer: Cloud ML Pipelines on Azure
Descripción
Job Overview
This role involves designing and implementing cloud-based machine learning pipelines using Azure services.
Familiarity with PySpark and Databricks is a must-have skill for developing and deploying scalable ML models.
This role requires individuals who can work efficiently in an innovative environment. The successful candidate will have the opportunity to grow professionally while contributing to cutting-edge projects.