Top Tech Jobs & Startup Jobs in Toronto

Design, implement, and scale optimization (MILP, heuristics) and ML solutions for routing, scheduling, and resource allocation. Build predictive models and feature pipelines, integrate ML inputs into optimization frameworks, diagnose and resolve model issues, develop Python/SQL data workflows, deploy in Azure/Databricks, ensure data quality and model reliability, and collaborate with stakeholders while mentoring junior team members.

Lead design and delivery of enterprise-scale, cloud-native Azure data platforms. Architect and build Synapse/Databricks-based data lakes, warehouses, and ETL/ELT pipelines for batch and streaming. Drive data modernization, governance, performance optimization, and mentor data engineering teams while collaborating with cloud, DevOps, security, and analytics stakeholders.

The Senior Product Manager will lead product strategy, manage delivery priorities, engage stakeholders, and ensure successful execution of digital products for enterprise clients.

Lead global delivery teams to plan and execute web, mobile, data engineering, and IoT projects. Manage full project lifecycle, apply Agile and Waterfall practices, coordinate onshore/offshore teams, run discovery and UX workshops, track risks, budgets, resources, and use PM tools to ensure timely, high-quality delivery.