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Design and implement cybersecurity controls for military-grade systems, conduct threat modeling and security testing, and ensure compliance with frameworks like NIST RMF and DISA STIGs.
Senior Data Scientist driving AI and analytics initiatives end-to-end—from data exploration to model deployment—using ML, statistical modeling, SQL, Python, visualization tools, and cloud platforms in Toronto.
Builds and refines fraud detection models (account takeover, card fraud, merchant loss) for Stripe’s global payments platform, collaborating with engineering and risk teams to deploy solutions and drive financial integrity.
Data Architect defining data architecture and building data marts using Kimball methodology and Snowflake in a public-sector consulting context.
Senior SRE/AIOps Engineer at RBC responsible for designing and maintaining site reliability and AIOps capabilities—including observability, automation, and self-healing systems—for HR data pipelines and SaaS applications using Dynatrace, ELK stack, Ansible, and Snowflake.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
Embedded AI Engineer who deploys AI-driven test automation solutions in real-world engineering environments, collaborating with teams to adapt prototypes into production-ready tools for system testing.
Senior ML Engineer building self-service ML platform tooling—model packaging, deployment, CI/CD, and observability—using Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow, and GitHub Actions at a lottery and sports betting company in Toronto.
Senior SRE/AIOps Engineer at RBC responsible for designing reliability capabilities across multi-platform data pipelines and SaaS integrations, owning incident coordination, vulnerability remediation, and self-healing automation using Dynatrace and Moogsoft.
Build and operate ML infrastructure for fraud detection and anti-cheat systems at EA, owning data pipelines and collaborating with data scientists to deploy models.
Senior Data Scientist at WestJet-Airline in Calgary, Canada. Works on data-driven decision-making, develops advanced analytics and AI solutions, and collaborates with cross-functional teams using Python, SQL, machine learning, generative AI, and cloud platforms like Snowflake.
Senior Data Scientist supporting TCS's AI CoE with end-to-end data science solutions—building and evaluating regression/classification models using SQL and Python, with exposure to Azure, Databricks, and MLflow in Toronto.
A Data Scientist at Coca-Cola Canada’s bottling company applies machine learning and statistical techniques to optimize demand forecasting, pricing, promotions, and inventory across the organization. The role bridges business challenges (e.g., trade spend, network optimization) with scalable analytical solutions, collaborating with commercial and operations teams to drive data-driven decisions.
The Data Scientist applies advanced analytics and machine learning to optimize demand forecasting, pricing, promotions, and trade spend for Coca-Cola Canada’s beverage operations, translating data into actionable insights for commercial and operational teams.
Senior Data Scientist (ML) on a 12-month contract supporting the Government of Alberta's Data Strategy, focused on ML model development, AI-assisted analytics, data de-identification, and building analytical data products using Python, R, and SQL.
Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
Machine learning engineer in an R&D communications systems environment, working on data science, data visualization, and software testing using Python, Git, and FPGA technologies in a hybrid role based in Kanata.
Designs and builds AI agentic workflows, integrating LLMs and foundation models into business solutions via orchestration, RAG pipelines, and tool integration. Focuses on workflow automation, prompt/context design, and production monitoring.
Staff engineer building cloud-based services and front-end features for Unity's game creation platform, using agentic AI tools like Claude Code daily alongside full-stack and DevOps work.
Builds and maintains production web applications and AI-powered features across full-stack systems, integrating LLMs and APIs while collaborating with distributed teams.
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