Related skills
python langchain langgraph openai xgboost📋 Description
- Develop AI systems to automate dispute and chargeback handling.
- Build models to automate refunds and speed reimbursements.
- Create evidence extraction pipelines using LLM-powered workflows.
- Prototype modeling ideas, run offline experiments, productionize top approaches.
- Collaborate with Eng, Servicing Ops, Product, and ML Platform; share results clearly.
🎯 Requirements
- 2+ years of experience as a machine learning engineer
- Strong Python skills and production-quality code
- Experience building models for tabular classification (LightGBM/XGBoost/CatBoost)
- Experience with LLM APIs (OpenAI, Anthropic), including structured extraction and prompts
- Familiarity with document/unstructured data processing (PDF/image extraction)
- ML lifecycle tooling (Kubeflow, Airflow, MLflow)
🎁 Benefits
- Health care coverage for you and dependents
- Flexible Spending Wallets for tech, food, and lifestyle
- Generous time off for vacation and holidays
- ESPP - employee stock purchase plan at a discount
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