Applied Machine Learning Scientist validating Generative AI models for TD. Responsible for model validation and communicating findings to stakeholders while fostering collaborations.
Responsibilities
Validate AI/ML models, particularly Generative AI and Deep Learning models
Stay up to date with advancements in Generative AI including major publications and evaluation metrics
Develop and implement AI/ML model validation methodologies and standards
Conduct R&D in the area of GenAI / Agentic AI / LLM evaluation
Communicate findings and recommendations to both technical and non-technical stakeholders
Requirements
Strong quantitative skills with an advanced degree in computer science, machine learning, engineering, statistics, mathematics, or physics
Experience with AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, and NLP
Experience with Deep Learning technology stacks and libraries such as PyTorch, Tensorflow/Keras, LangChain, HuggingFace
Proficient in one or more scripting/programming languages such as Python, Java, Scala
Familiarity with cloud platforms (e.g., Azure, AWS)
Knowledge of machine learning explain-ability/interpretability algorithms
Excellent verbal and written communication skills
Ability to work independently and collaboratively in a fast-paced environment
Benefits
Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development and reward programs
Job title
Applied Machine Learning Scientist I, Generative AI Model Validation
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