Databricks Machine Learning Platform Engineer
2 weeks ago
Responsible for building, managing, and optimizing the Databricks machine learning platform on AWS and Azure cloud platforms, providing efficient, reliable, and secure data processing and model development environments for data scientists, data analysts and machine learning engineers.
Requirements:
Cloud Services: Familiarity with AWS and Azure, such as AWS EC2, S3, MWAA/Airflow, AWS Lambda, Azure Blob Storage, Data Factory, Synapse Analytics, etc.
Machine Learning Platform: Familiarity with the architecture, features, and best practices of the Databricks platform, Databricks certification or relevant certifications are a plus.
Proficiency in PySpark, Python, SQL, and other big data and machine learning technologies; practical project experience is preferred.
Familiarity with concepts and methods related to data, such as data warehouses, data lakes, data pipelines, data quality, data security, and data governance.
Understanding of machine learning principles, processes, and application scenarios; experience in training, deploying, automating, and managing machine learning models using Databricks is a plus.
Strong sense of responsibility and communication skills; ability to collaborate effectively with different functions of data team members, understand their needs and challenges, and provide technical support and solutions.
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