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The Opportunity
o Design, build, evaluate, and deploy machine learning models (e.g., forecasting, optimization, classification, personalization) and generative AI solutions., o Leverage foundation models and GenAI platforms (e.g., OpenAI, Amazon Bedrock, Azure equivalents) where appropriate, alongside traditional ML approaches., o Adapt, extend, and productionize models developed by Zurich Group AI teams for local Canadian use cases., o Support the full ML lifecycle: data preparation, feature engineering, training, validation, deployment, and monitoring., o Ensure models meet performance, scalability, and reliability expectations in production
o Work closely with Data Engineering to design and optimize ML-ready datasets and feature pipelines on Databricks., o Contribute to the ingestion and processing of large-scale structured and unstructured data using Python and SQL., o Support data architecture evolution to enable efficient ML and GenAI workloads., o Apply strong data modeling and analytics engineering practices to support downstream ML use cases
o Proactively identify and propose high-value ML and GenAI use cases relevant to Zurich Canada., o Partner with business, product, and engineering stakeholders to translate problems into effective technical solutions., o Take end-to-end ownership of initiatives—from discovery and experimentation through production deployment., o Serve as a trusted thought partner to stakeholders on how ML and GenAI can drive business outcomes
Job Qualifications - What you bring to the table
Why Zurich