Applied Machine Learning Scientist II (ATH # 5215)
Core
Validate and review Generative AI and Deep Learning models, conduct R&D in GenAI/Agentic AI/LLM evaluation, and develop validation methodologies for AI/ML models used across the bank.
Role type
Senior Applied Machine Learning Scientist (Model Validation)
Builds
Independent validation and approval of AI/ML models (GenAI, Deep Learning, NLP, credit, fraud, marketing)
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Generative AI, Agentic AI, Deep Learning, NLP, RAG, Transformers, Diffusion models, Python, statistical testing, model explainability/interpretability
Preferred skills
Academic publications, implementing algorithms from research papers, SQL
Technologies
PyTorch, LangChain, HuggingFace, PromptFlow, Azure, AWS
Responsibilities
Validate (review, test, challenge) AI/ML models; Conduct R&D in GenAI/Agentic AI/LLM evaluation; Develop/implement validation methodologies and standards; Apply statistical tests to recommend model improvements; Communicate findings to technical and non-technical stakeholders
Seniority
Senior, hands-on IC