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Staff Software Engineer (Machine Learning Platform)
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Senior Data Scientist
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Senior AI Engineer - Tangerine
Senior AI Engineer builds and maintains Tangerine’s AI/ML platform, including RAG pipelines, agentic systems, and MLOps/LLMOps tooling to power banking features and client experiences.
Senior GEN AI Engineer
Build and deploy generative-AI models (RAG, zero/few-shot learning) for capital-markets use cases like summarization and conversational AI, integrating them into existing tools for research, banking, sales, and trading.
Senior Machine Learning Engineer
Build and deploy AI agents and ML models for Loblaw Digital’s retail platforms using Python, LLMs, and GCP tools, while mentoring peers and leading MLOps best practices.
Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Build and deploy end-to-end AI/ML and GenAI solutions on AWS for enterprise clients, designing scalable pipelines and advising on cloud architectures.
Sr./ Staff AI/ML Engineer - Vision Systems
Lead the development and deployment of AI/ML computer-vision systems for industrial quality-assurance hardware, using Python, OpenCV, TensorFlow/PyTorch, and edge/GPU acceleration.
Senior Machine Learning Engineer
$150000 - $200000 We are building out an AI team in Toronto and are hiring Senior Machine Learning Engineers. This is a build-from-scratch effort on a modern stack, focused on putting AI into production rather than…
Principal Data Scientist
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Spatial AI Engineer
Builds AI systems that turn raw spatial and temporal data into actionable insights for real-world applications, using PyTorch/TensorFlow and cloud-native pipelines.
Lead AI Engineer
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Senior Cloud Engineer AI
Design and build secure, compliant AI/ML platforms on AWS and Azure for a large bank, including MLOps pipelines, guardrails, and observability for regulated environments.
Senior Data Scientist Gen AI
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve fintech problems like health analytics and operations modernization.
Machine Learning Engineer
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Senior Data Scientist
Lead delivery of advanced analytics and ML solutions for an insurance transformation program, designing models for claims, underwriting, and marketing while coordinating with offshore teams.
Senior Fullstack Enginer (Python & React)
Build and maintain scalable Python backend services (FastAPI/Flask) and React frontends, integrating AI models via APIs and optimizing cloud infrastructure on AWS.
Lead DevOps & MLOps Engineer – Cloud, Kubernetes, AI
Lead a team building and scaling ML-enabled, cloud-native platforms on AWS using Kubernetes and Python, ensuring regulatory compliance and robust distributed microservices.
Principal Generative AI and Agentic AI Engineer
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP for travel retailing, including RAG, agent workflows, and LLMOps pipelines.
Senior Data Science Engineer
Builds and deploys AI-driven travel solutions using ML, generative AI, and optimization on GCP, focusing on pricing, automation, and operations for airlines and agencies.
Ai Engineer
Build and deploy end-to-end AI applications using LLMs and GenAI, integrating with Azure AI and Azure OpenAI, while following DevOps practices in Python.