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
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.