Senior AI/ML Platform Engineer II

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Requirements:

• Extensive hands-on experience in ML infrastructure, including building pipelines and frameworks from scratch.
• Expertise in anomaly detection, fraud detection, predictive analytics, and confidence scoring.
• Strong Python skills, with proficiency in PyTorch, TensorFlow, and Spark (PySpark preferred, not Java-based Spark).
• Experience working with data warehouses (Snowflake), streaming systems (Kafka), and large-scale ML systems.
• A track record of delivering production-ready ML systems—not just research or Jupyter notebooks.
• Ability to thrive in a fast-paced, fully remote, distributed team environment.

Responsibilities:

• Design and build the AI/ML infrastructure to power cost anomaly detection and predictive analytics.
• Lay the foundation for ML-driven cost optimizations—detecting issues and automating remediation within dbt.
• Work hands-on with Snowflake, Kafka, PyTorch, TensorFlow, Ibis, and Pandas to process billions of data points.
• Collaborate cross-functionally with Product, Engineering, and Design to integrate ML models into dbt workflows.
• Provide technical leadership in defining the AI/ML strategy for cost optimization and efficiency.
• Influence the growth of our AI/ML engineering team as we scale.