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Lead the end-to-end production lifecycle of AI applications for international government partners, ensuring reliability, security, and compliance while bridging technical insights with high-level stakeholders.
The AI Engineer will design, develop, and deploy production-ready AI and machine learning solutions, focusing on LLMs, generative AI, and autonomous agent systems for healthcare clients. The role involves building scalable architectures and integrating AI models with existing APIs and data sources.
Senior Data Scientist at AutoTrader.ca in Toronto designing, building, and operating ML and GenAI systems for automotive marketplace platforms. Works with Python, ML frameworks, AWS, and MLOps to create production-ready AI solutions.
The Senior Gen AI Engineer will develop innovative prototypes and agentic workflows using Generative AI and LLMs to solve complex problems in the public administration sector. This role involves working within a research-focused institute to manage the full MLOps lifecycle for advanced AI models.
Build and optimize large-scale deep learning models and data pipelines, focusing on sequence and time-series architectures, using Python, PyTorch/TensorFlow, and MLOps practices.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Designs and oversees AI architecture for CBC/Radio-Canada, integrating LLMs, ML pipelines, and agentic AI systems while ensuring compliance, scalability, and business alignment in media tech.
A Senior Manager in Data Governance Implementation at Aviso, responsible for designing and operationalizing data governance frameworks, collaborating with business and technical teams, leading change management, and ensuring compliance and ethical data use, using tools like Collibra and cloud platforms.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Build and scale an AI-powered conversational investment research platform (Floyd) using LLMs (OpenAI, Google Gemini, Anthropic Claude) to automate complex workflows for pension fund analysts. Own end-to-end development, from agentic system design to production deployment, while collaborating closely with investment teams to refine and adopt AI tools.
What is the opportunity? Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
What's the opportunity? We’re looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. In this role, you will build and scale…
About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more…
The Azure Cloud Platform Engineer will design and implement cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps. The role requires experience with Azure services like Databricks and Data Factory, and involves collaborating with teams to support advanced analytics and AI solutions.
Azure Cloud Platform Engineer designing and maintaining Azure cloud infrastructure for data and analytics workloads using Terraform, Databricks, and IaC for a federal government department in Canberra.
Senior AI Engineer building end-to-end AI solutions (data prep to production) on GCP for a retail/consumer goods company in Barcelona, using Python, SQL, BigQuery, Vertex AI, LLMs, and RAG architectures applied to CRM, loyalty, ecommerce, and marketing.
Designs and maintains scalable data pipelines and architectures for analytics and AI agents using Python, SQL, Spark, Databricks, and Azure.
We Are Waiting for YouHi there! I am Álvaro, the recruiter for this position. Nice to meet you! First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is…
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