As a Senior AI/ML Platform Engineer II, you will be responsible for building AI/ML infrastructure from the ground up in a greenfield environment, focusing on data warehouse cost visibility and optimization.
In Short
Design and build AI/ML infrastructure for cost anomaly detection.
Lay the foundation for ML-driven cost optimizations.
Work with Snowflake, Kafka, PyTorch, TensorFlow, Ibis, and Pandas.
Collaborate with Product, Engineering, and Design teams.
Provide technical leadership in AI/ML strategy.
Influence the growth of the AI/ML engineering team.
Requirements
Extensive experience in ML infrastructure.
Expertise in anomaly detection and predictive analytics.
Strong Python skills with proficiency in PyTorch and TensorFlow.
Experience with data warehouses and large-scale ML systems.
Track record of delivering production-ready ML systems.