CCB Risk Modeling - AI ML Senior Associate
Palo Alto, CA, United States
USD 125K-172K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines with data quality validation
- Build production machine learning pipelines on big data platforms
- Collaborate across risk technology and model governance teams
- Deploy and support AI agents with production infrastructure
- Design machine learning models for credit and fraud decisions
- Design tool calling agents with retrieval and reasoning
- Develop tools and frameworks for AI explainability and fairness
- Execute secure actions with safety guardrails
- Implement deep learning architectures on big data
- Maintain knowledge freshness feedback loops
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
Apache Hadoop | Clustering | Data Quality | Data Quality Validation | Deep learning | Explainable AI | Fine Tuning | Function Calling | GBM | GPU Computing | Hive | Language Models | Large Language Models | Machine Learning | Model Distillation | Orchestration | Policy enforcement | Prompt engineering | Python | Quality validation | RAG | Recommendation Systems | Retrieval-Augmented Generation | Scala | Spark | TensorFlow | Tool-Calling | Tool-calling Agents | XGBoost
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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