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The Machine Learning Engineer will build, train, and deploy ML models and LLMs into production to automate and assist with Stripe's user-facing tasks. The role involves end-to-end development, from data analysis and model experimentation to integrating scalable solutions into the company's financial infrastructure.
The Cloud Architect will design and evolve scalable, resilient cloud architectures primarily on AWS (70%) and Azure (30%). The role involves building automation, implementing Infrastructure as Code, and collaborating with cross-functional teams to modernize cloud environments.
The Senior Data Architect will lead the design and implementation of enterprise data and analytics solutions, including data lakes and cloud-native ecosystems, to support business intelligence functions. The role involves establishing architecture standards, driving cloud modernization, and providing technical leadership across data governance and engineering teams.
The Senior Data Scientist will design, develop, and deploy AI models using transformer architectures and foundation models to analyze telemetry data for ArcGIS users. The role involves fine-tuning models with LoRA/QLoRA, building evaluation frameworks, and collaborating with cross-functional teams to deliver production-ready AI solutions.
This is a 12-month contract role for a Senior Data Architect to lead a greenfield Enterprise Data Warehouse build in the public justice sector. The role involves end-to-end architecture, from Kimball dimensional modeling and ETL development to Power BI reporting within a Microsoft Azure environment.
A BI/Data Analytics Consultant who extracts, processes, and visualizes financial data in Databricks/Power BI to help CIBC’s business teams make data-driven decisions, covering the full reporting lifecycle from data sourcing to insight delivery.
Design and implement scalable Databricks Lakehouse platforms, architect batch and real-time data pipelines on Azure/AWS/GCP, and lead ETL modernization from Informatica to Databricks using Spark, PySpark, SQL, and Delta Lake.
Data Scientist on the Askuity team designing and deploying ML solutions and predictive models for retail and supply chain challenges, using GCP tools, MLOps, time series analysis, and Looker dashboards.
The Senior Data Scientist will lead IFRS-9 reporting processes, manage risk data, and collaborate with cross-functional teams to support regulatory compliance and business decision-making. The role requires expertise in SAS, SQL, and Python to analyze complex datasets and provide insights to senior management.
BigGeo is seeking a Spatial Cloud Solutions Architect to design and implement scalable spatial data systems for enterprise customers. The role involves bridging the gap between platform architecture and real-world application, working closely with engineering teams to integrate spatial intelligence into production workflows.
Builds and deploys production-grade AI systems for legal tech, focusing on generative AI, RAG, and agentic workflows to enhance LLM-powered drafting and retrieval solutions. Combines deep AI expertise with software engineering to ensure scalability, reliability, and observability.
The Data Analytics Architect will design and build enterprise analytics solutions for sales, marketing, and supply chain operations using Microsoft Fabric, Power BI, PySpark, and SQL. This role involves collaborating across business functions to deliver actionable insights and robust data tools.
BI and Data Analytics Consultant in CIBC's Third-Party Governance Office, supporting the full reporting lifecycle—sourcing, transforming, and visualizing data—using Databricks, Power BI, SQL, and Python in a hybrid Toronto arrangement.
Co-op ML software engineer building end-to-end ML solutions—from data preprocessing to front-end—at RBC Borealis, using Python/C++/Java, Spark/Hadoop, and deep learning frameworks.
Designs and implements scalable data platforms using Databricks, Spark, PySpark, and Delta Lake, leading ETL migrations from Informatica to cloud-based solutions.
Data Scientist role at Xe, a currency services company, based in Toronto. The posting is a template with no specific responsibilities or requirements filled in.
Senior Data Scientist developing and validating IFRS 9 credit risk and stress testing models, performing backtesting and ECL impact assessments using SAS, Python, and SQL at National Bank of Canada.
Data Scientist focused on store labour planning, payroll spend management, and financial analysis for SportChek and Mark's retail operations, using Python, SQL, Azure Synapse/Databricks, and BI tools.
Build and deploy AI/ML models and analytics solutions for TD’s contact centers, using Python, SQL, and cloud tools to improve customer experiences and operational efficiency.
Designs and builds scalable Databricks-based Lakehouse solutions, migrating legacy systems and optimizing Spark pipelines for analytics and AI/ML workloads.
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