Top Tech Jobs & Startup Jobs in Toronto

Design, train, evaluate, and deploy predictive transportation and delivery ML models (primarily XGBoost). Perform EDA, feature engineering, experiment design, and statistical evaluation. Build production ML pipelines and MLOps practices on Google Vertex AI. Collaborate with data engineering and supply chain stakeholders to translate operational needs into scalable solutions.

Provide Level 2/3 AMS support and SAP EWM implementation work: diagnose and resolve WMS incidents, lead improvements and small developments, coordinate cross-functional teams, perform RCA, manage transports and testing (unit, integration, UAT), support releases and post-go-live stabilization, and document system configurations and procedures.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Lead and coordinate SAP S/4HANA Central Finance implementations and finance transformation. Define functional specs, drive finance harmonization, manage data replication (SLT/CPI/BTP), ensure reconciliation and financial controls, collaborate with ABAP/integration/data teams, manage stakeholder relationships, and maintain delivery under tight deadlines across multi-system global landscapes.

Design, build, and maintain production-ready full-stack applications combining React frontends with Java/Python backends. Integrate Generative and Agentic AI workflows, implement CI/CD, deploy cloud-native services on Kubernetes (GCP/Azure), manage relational and NoSQL databases, apply automated testing, observability, and troubleshoot production systems while collaborating across DevOps, QA, and Product teams.