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Builds GenAI and ML systems for actuarial finance, translating business problems into production-ready predictive/analytical solutions with explainability, governance, and operational controls.
Lead the design and optimization of Mistplay's rewards economy by building real-time ML systems—contextual bandits, RL frameworks, predictive models—using Python, PyTorch, and SQL to personalize reward distribution for mobile gamers.
Senior Cybersecurity Engineer focused on AI and Data Security Posture Management (AISPM/DSPM) at Lululemon, building and operating enterprise security controls, threat modeling, and security automation to protect AI models and data assets across a global ecosystem.
The Data Scientist will collaborate with cross-functional teams to implement data-driven solutions, analyze complex data models, develop and deploy machine learning models for predictive analytics, and create data visualizations using tools like Azure Databricks, Apache Spark, and Power BI.
Senior Lead AI Engineer managing technical projects and building production AI/ML systems, LLM-based agents, and pipelines for a global management consulting firm's AI practice.
Data Scientist building and deploying AI/ML models, designing ETL/ELT processes, and creating Power BI dashboards using Azure Databricks, Synapse, and Spark for a client-focused team in Toronto.
Build agentic tools and AI-native systems integrated with CRM to optimize GTM workflows, operating within the CoE Data function to deliver production-ready AI solutions that scale across revenue teams.
Designs and builds AI/ML-powered features, models, and APIs to enhance customer products; collaborates with product and data teams to deploy scalable, high-performance AI solutions.
Own evaluation coverage for Agentic AI systems, focusing on LLM-judge metrics, benchmark dataset curation, and error analysis to support release-readiness for voice and chat solutions.
iA Global Asset Management (iAGAM) seeks a Quant Systems Engineer to translate quantitative research into robust, production‑ready software. You’ll work with Front Office teams to build scalable analytics platforms,…
ML Engineering Intern on the Knowledge Assist team building RAG, generative knowledge assist, and enterprise search solutions for contact centers using Python and deep learning frameworks.
Design and calibrate engineering challenges for AI training—writing prompts, scoring rubrics, and setting up realistic task environments to evaluate AI agents on software engineering scenarios.
Build and scale enterprise AI systems using Python, transformer models, and RAG pipelines; design agentic workflows and optimize ML observability in a hybrid Montreal office.
Build and ship AI agents and automation workflows for go-to-market operations at a major Canadian media company, integrating LLMs with CRM systems using Python, LangChain/LangGraph, and tools like n8n and Zapier.
Senior Software Engineer on the AI Authentication (Auth0) team building identity and access infrastructure for the Agentic AI era using TypeScript, Node.js, and PostgreSQL/MongoDB.
Senior Software Engineer building LLM-powered AI agents and a knowledge/reasoning platform for an early-stage HR tech startup in Toronto, using Golang, Ruby on Rails, Python, AWS, Kafka, and related infrastructure.
Senior AI Test Automation Engineer building scalable test frameworks (Java, Python, Playwright), performing deep database/SQL validation including ETL and data migrations (Snowflake), and driving AI-assisted testing practices across the quality engineering organization at a fintech product company.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Design, build, and scale enterprise-grade AI systems using Python, Agentic Workflows, deep learning, NLP, and Generative AI, with focus on RAG pipelines, tokenization, embeddings, and MLOps observability.
Senior Data Scientist at Valtech designing and building AI/ML models for segmentation, forecasting, and experimentation to drive business outcomes.
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