Snowflake

Senior ML Architect, Applied Field Engineering

Snowflake

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $155,600 - $216,600 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
  • Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
  • Build compelling AI ML demos and proof of concept (POCs) for customer
  • Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
  • Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
  • Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

Requirements

  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • MLOps experience on a major ML platform (e.g., Databricks, SageMaker): built shared pipelines/templates for teams and deployed/operated production models with monitoring and alerts; wrote unit/integration tests and used Git/CI.
  • Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
  • Data Cleansing
  • Work with large datasets, and perform data quality evaluation/checks
  • Feature engineering
  • Determine relevant features for training and evaluation
  • Optimization of model performance/accuracy
  • MLOps and lifecycle management
  • Strong skills presenting to both technical and executive audiences
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.