Hybrid Applied Machine Learning Scientist I, Generative AI Model Validation

Posted 22 hours ago

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About the role

  • 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

Job type

Experience level

Mid levelSenior

Salary

CA$105,500 - CA$125,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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