about 17 hours ago
Responsibilities
- Serve as a technical expert on Snowflake for AI/ML workloads.
- Build and deploy ML pipelines using Snowflake features and partner tools.
- Develop POCs using SQL, Python, and APIs to showcase implementation techniques.
- Ensure knowledge transfer to enable customers to extend Snowflake capabilities.
- Maintain awareness of competitive technologies in the AI/ML space.
- Collaborate with System Integrators to deploy Snowflake in customer environments.
- Provide solutions for customer-specific technical challenges.
- Support team members in developing their technical expertise.
- Work with Product Management, Engineering, and Marketing to enhance Snowflake products.
- Travel to customer sites as needed, approximately 25% of the time.
Requirements
- Minimum 10 years of experience in a pre-sales or post-sales technical role.
- Ability to present to both technical and executive audiences.
- Thorough understanding of the Data Science life-cycle.
- Strong knowledge of MLOps and model deployment methodologies.
- Experience with at least one public cloud platform (AWS, Azure, GCP).
- Familiarity with Data Science tools like Sagemaker, AzureML, or DataRobot.
- Hands-on scripting experience with SQL and at least one programming language.
- Experience with libraries such as Pandas, PyTorch, or TensorFlow.
- University degree in computer science, engineering, mathematics, or related fields.
Tech Stack
Apache SparkAWSAzureDatabricksGoogle Cloud PlatformH2O.aiJavaJupyter NotebookPandasPythonPyTorchRScalascikit-learnSnowflakeSQLTensorFlow