Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
Montréal, QC +1The Toronto-Dominion Bank (Canada)
4+ YOE2+ MgmtCandidates need a post-secondary degree in computer science, machine learning, engineering, statistics or mathematics, plus 4+ years developing or validating generative AI or deep learning models and 2+ years leading a small team of machine learning scientists.
Python, PyTorch, LangChain, LangGraph, HuggingFace, PySpark
IT Manager Development (CIAM)
Toronto, ONThe Toronto-Dominion Bank (Canada)
10+ YOE3+ MgmtCandidates need 10 to 12 years of hands-on development experience, including 3 to 5 years in people management. They need strong Java, Spring Boot and microservices skills, RDBMS and LDAP expertise, Kafka and Azure experience, and a bachelor's or master's degree in a technology field.
Kafka, Azure, Jenkins, Splunk, LDAP, RDBMS
.NET/C# Engineer, TD Securities
Toronto, ONThe Toronto-Dominion Bank (Canada)
5+ YOECandidates need 5+ years of hands-on C# programming experience, plus SQL Server and T-SQL, CI/CD and git knowledge. Web UI, cloud (Azure or Google), middleware, financial and interest rate derivatives experience are useful.
C#, SQL Server, SSRS, git, Azure, Google Cloud
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
Toronto, ONThe Toronto-Dominion Bank (Canada)
Candidates need an advanced degree in computer science, machine learning, statistics, mathematics, engineering or physics, plus deep learning experience with PyTorch or TensorFlow. Strong Python skills, familiarity with cloud platforms, and clear technical writing are also required.
PyTorch, TensorFlow, Keras, Python, PySpark, Azure Databricks