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Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform Build secure, high performance microservices and platform components on AWS, owning…
Design secure, scalable AI solution architectures (generative AI, RAG, ML) for Canada Life, producing architecture deliverables and guiding AI engineering teams using Azure AI services and Python.
Designs and leads a scalable platform architecture for AI, robotics, and industrial data workflows, focusing on data ingestion, validation, transformation, and runtime execution. Shapes APIs, event-driven services, security, and integration patterns for cross-functional teams.
The Senior Data Scientist will design and deploy machine learning and generative AI solutions to solve complex business challenges at WestJet. This role involves end-to-end model development, from data engineering and feature creation to production deployment and executive-level communication.
Senior Data Scientist building and evaluating ML models (regression, classification, forecasting) using SQL and Python, delivering end-to-end data science solutions for TCS's AI CoE in Toronto.
The Sr Data Scientist will lead end-to-end data science initiatives to detect cheating, fraud, and other risks in gaming platforms. They'll develop machine learning models using gameplay telemetry and player behavior data, collaborate with cross-functional teams, and mentor junior data scientists.
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.
Fullstack AI Engineer building production-grade AI agents and LLM-powered workflows using Python, Django, PostgreSQL, and OpenShift/Docker for RBC's Risk, Audit, and Finance teams.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
Lead AI/ML Engineer at RBC’s digital banking unit, designing and deploying production-grade ML systems (LLMs, RAG, embeddings) for financial services. Owns end-to-end projects from model development to observability, integrating AI into online banking and digital channels.
Data & AI Product Manager responsible for shaping strategy, roadmap, and requirements for data and AI products, partnering with an agile engineering pod using SQL and modern data platform concepts like lakehouse architecture at an employee-owned engineering and professional services firm.
Join Our Data Engineering Talent Network Data Science Engineers (3+ Years Experience) Are you a data professional who thrives on solving complex problems and working with large-scale datasets? We're building a…
About Aaru Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a…
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development…
Design realistic DevOps tasks, write reference solutions, and review AI-generated output to help train next-generation AI systems. Core technologies include CI/CD pipelines, Docker, Kubernetes, IaC (Terraform/Ansible/Pulumi/CloudFormation), and cloud platforms (AWS/GCP/Azure).
Builds and maintains AI infrastructure (LLM proxy, key management, observability) and autonomous agents for internal developer tooling, shaping the company’s AI platform for scalable use across engineering teams.
Senior engineer on the internal AI Pod team building LLM proxy infrastructure, autonomous agents, an AI plugin marketplace, and MCP integrations to power AI-native development across a restaurant-tech product company. Core stack includes Java/Kotlin, distributed systems, and LLM/agent tooling.
4-month co-op on an AI & Enterprise Applications team, designing and developing software applications and AI/ML solutions using Python/C#/.NET/Java, cloud platforms (Azure), and ML frameworks like TensorFlow and PyTorch.
4-month co-op on the AI & Enterprise Applications team helping design, develop, and deploy software and AI/ML solutions using Python, C#/.NET, Java, TensorFlow/PyTorch, and Azure.
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