Solution Innovation Architect, Snowflake

• Degree in Data Science or AI/ML required; Graduate degree preferred
• Have a strong understanding of the model life-cycle; model development, model training, and MLOps/observability
• Experience with GenerativeAI, LLMs, and Vector Databases
• Have a strong understanding of the GenerativeAI landscape, its use, and application
• Have a strong understanding of Large Language Models (LLMs), and the different architectures that are appropriate for each use-case
• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models
• Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar
• Have the following AI and ML Engineering skills:
• 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

Desirable

• We are looking for an Solution Innovation Architect to join our Solution Innovation team, focused on supporting strategic field projects and building ML and AI solutions using our suite of features such as Snowflake Cortex, Snowflake ML, and Snowpark Container Services
• Based in the Sales Engineering organization, you will be working with strategic customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science use-cases from ideation to deployment
• The role will be a combination of solution design, hand-ons development, machine learning engineering, and strategic/advisory work, whilst working closely with customer teams
• Design, architect, and build AI/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