Snowflake

Senior Solution Innovation Architect, AI/ML

Snowflake

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $155,600 - $216,600 per year

Job Level

Senior

Tech Stack

ApacheCloudETLPandasPythonPyTorchScikit-LearnSparkTensorflow

About the role

  • Design, architect, and build ML Solutions using the Snowflake platform.
  • Support workshop and design thinking sessions, to deliver discovery sessions with customer stakeholders to specify advanced use-cases and solutions.
  • Work closely with Data Scientists, Machine Learning Engineers, and AI Engineers to understand the requirements of proposed solutions and applications.
  • Design, train and build AI/ML models for use within customer solutions and use-cases.
  • Provide technical expertise and enablement on all aspects of Snowflake in relation to the AI/ML suite of features to customer teams as part of solution development/delivery.
  • Stay up to date with the latest advancements in AI/ML.
  • Provide thought leadership on AI/ML in Snowflake through external content such as webinars, event presentations, and blog posts.
  • Work as part of Sales Engineering with strategic customers to expand use of the Snowflake Data Cloud from ideation to deployment.

Requirements

  • Minimum of 5 years in an ML role where you will have built and deployed ML models into production.
  • 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, whether impromptu on a whiteboard or using presentations and demos
  • University degree in data science, mathematics or related fields, or equivalent experience
  • (Bonus) Experience working in a customer facing technical delivery role
  • (Bonus) Experience with GenerativeAI, LLMs, and Vector Databases
  • (Bonus) Experience with Databricks/Apache Spark
  • (Bonus) Experience implementing data pipelines using ETL tools
  • (Bonus) Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.