Help define and own the roadmap for ML & AI for Marketplace Trust, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that review, moderate, approve and modify content on Snowflake Data Marketplace platform
Investigate, evaluate, compare and fine-tune multiple Large Language Models (LLM) to deliver maximum value to Snowflake’s customers
Design, build and maintain experimentation framework
Help define and implement benchmarks and metrics for model performance
Define and implement experimentation-to-production process
Own production ML Ops, metrics, monitoring, alarming and logging
Collaborate across other engineering partner teams to continuously improve ML development velocity and capabilities at Snowflake.
Support team members in delivering a high level of technical quality.
IDEAL REQUIREMENTS & QUALIFICATIONS:
Have 5+ years of industry experience designing and building infrastructure, machine learning platforms, machine learning services and frameworks.
Strong knowledge of Machine Learning foundations, neural networks, statistics and optimization
Strong track record of working with machine learning systems and/or platforms.
Experience with several of the following frameworks: Pandas, NumPy, SKLearn, XGBoost, LightGBM, PyTorch, Tensorflow, Keras.
Fluent in both Python and Java.
Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between science, business and technology partners.
BS/MS/PhD in Computer Science or related majors, or equivalent experience