Machine Learning Engineer
Télétravail au CanadaWave HQ
3+ ansCandidates need 3 to 5 years of machine learning engineering experience with models deployed to production. They need strong AWS, Airflow and MLOps skills and the ability to explain technical ideas to non-technical stakeholders. FinTech or financial risk experience is a significant advantage.
AWS SageMaker, Spark, AWS Glue, Terraform, Airflow, Databricks
Group Product Manager - Core Services
Toronto, ONWave HQ
8+ ans2+ gestionWave HQ requires 8+ years of product management, including 2+ years leading product teams at group level, with ownership of complex technical products. Candidates need strong technical fluency in distributed systems, APIs and cloud concepts, plus a bachelor's degree or equivalent experience.
Workflow, Documentation, Change management, Prioritization, Process improvement, Coaching