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Director - Data Engineering And ML Engineering
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Full-time
- We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
- The Director, Data & ML Engineering willl be responsible for both data engineering and MLOps engineering teams to support data science applications.
- Oversee the entire lifecycle of data engineering projects: build scalable, reliable, and high performing data ingestion pipelines that collect, transform, integrate, and load structured, semi-structured, and unstructured data from a variety of sources, such as transactional data, data warehouse, and data lakes.
- Use best practices to design and develop feature stores on Snowflake and other platforms to support rapid AI/ML model development.
- This includes, but is not limited to, setting up SageMaker instances, creating Docker images, configuring lambda functions, setting up orchestration layer via Airflow, deploying endpoints, and creating API gateways.
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