You will provide technical expertise deploying applications on the Azure Databricks platform.
Responsibilities
Work with stakeholders in WM Strat, Algo, and Modeling teams to design, develop, and implement large Databricks environments.
Facilitate Machine learning models using Spark, PySpark, or PyTorch with the WM Strat, Algo, and Modeling team.
Manage Databricks environments adhering to security guidelines.
Develop Infrastructure as Code (IaC) to automate Databricks environment deployments.
Perform production deployment and model monitoring to ensure stable performance.
Required Skills
5-7 years of professional experience developing and implementing models in a Cloud ecosystem (AWS/Azure/GCP, Databricks, SageMaker, or similar distributed computing technology).
Proficiency with Databricks, SageMaker, Dataiku, or similar tools.
Experience partnering with Cloud solution architects and development teams to configure ML platforms based on product requirements.