Lead ML/AI Platform Engineer

What You'll Do:

• Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions.
• Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration.
• Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and judgment calls.

What We're Looking For:

• 8+ years in software or ML engineering, including 5+ years shipping production ML systems.
• Hands-on experience with AWS managed ML stack: Amazon SageMaker, Amazon Bedrock, AgentCore.
• Deep expertise in Python and core ML stack: scikit-learn, pandas, NumPy, PyTorch, XGBoost.

Why This Role Matters:

• Credit data is core to SavvyMoney, and this role defines the ML platform that powers smarter personalization for 1,600+ financial institutions.
• Your decisions on architecture, tooling, and evaluation will set the ceiling on every ML-driven feature at SavvyMoney.