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General Dynamics Missions System International
10+ YOECandidates need 10+ years in enterprise data architecture, integration or data engineering, plus experience leading technical teams. A bachelor's degree or equivalent experience and familiarity with AI/ML models are required, along with a Canadian government security clearance.
MuleSoft Anypoint Platform, Snowflake, Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks
Limbic
2+ YOELimbic needs candidates with a PhD in an AI-related field plus 2 years of ML engineering, or a BSc/MSc plus 4 years. Expert Python and TypeScript/JavaScript, LLM productization, eval-driven development and agent harness experience are required, and candidates must have the right to work in Canada.
Git
Deloitte
3+ YOECandidates need at least 3 years in cyber risk, vendor risk, technology risk or IT audit, plus knowledge of security questionnaires, audit reports and frameworks such as ISO 27001 and NIST. A bachelor's degree or equivalent experience is expected, and CISA, CISM or CRISK are preferred.
ServiceNow, Archer, SIG questionnaire, CAIQ
1Password
2+ YOECandidates need at least 2 years of software development experience, preferably with backend services, APIs or distributed systems. Ruby on Rails familiarity, clear communication and the ability to own scoped problems are required.
Ruby on Rails, Datadog, Kubernetes, Terraform
1Password
5+ YOECandidates need 5+ years of performance, growth, or user acquisition marketing experience, ideally for self-serve or PLG products. They must have hands-on experience with paid channels, analytics skills, and experience using AI-enabled tools.
marketing analytics tools, AI agents
5+ YOECandidates need a bachelor's degree in computer science or equivalent experience, five years working with data processing tools like Spark and Beam, and skills in Java, Python or SQL. Client-facing project and technical troubleshooting experience is also required.
Google Cloud Platform
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Candidates need extensive experience building distributed ML systems at scale, hands-on work with Google Cloud Platform and Vertex AI, and experience with generative AI, MLOps tools, DevOps pipelines and Python. They also need familiarity with deep learning frameworks and software engineering practices.
Google Cloud Platform, Vertex AI, Airflow, Kubeflow, Dagster, Flyte
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Royal Bank of Canada needs a technical leader with proven experience building multi-step AI agents in production, plus LLM engineering, CI/CD, containerized infrastructure, and strong Python, Java or C++ skills. Candidates should have a Bachelor's or Master's degree (PhD preferred) or equivalent experience, and a record of advising executives and hiring engineers.
LangGraph, CrewAI, AutoGen, FastAPI, gRPC, Docker
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Royal Bank of Canada needs a technical leader with proven experience building multi-step AI agents in production, plus LLM engineering, CI/CD, containerized infrastructure, and strong Python, Java or C++ skills. Candidates should have a Bachelor's or Master's degree (PhD preferred) or equivalent experience, and a record of advising executives and hiring engineers.
LangGraph, CrewAI, AutoGen, FastAPI, gRPC, Docker
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Candidates need extensive experience building distributed ML systems at scale, hands-on work with Google Cloud Platform and Vertex AI, and experience with generative AI, MLOps tools, DevOps pipelines and Python. They also need familiarity with deep learning frameworks and software engineering practices.
Google Cloud Platform, Vertex AI, Airflow, Kubeflow, Dagster, Flyte
Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.
3+ YOECandidates need 3+ years in data science or AI/ML with product, portfolio or program management experience. They must understand the full machine learning lifecycle and be able to manage competing priorities across teams.
Databricks, Azure ML, Azure DevOps, Jira
Westland Insurance Ltd.
7+ YOECandidates need at least 7 years of experience in data analytics or a related field with proven business impact, plus a relevant degree such as Statistics, Computer Science or Economics. They must work well with senior stakeholders and explain complex analysis to non-technical audiences.
SQL, Python, R, Databricks, Snowflake, Microsoft Fabric
Cerebras Systems
Cerebras Systems needs candidates with solid software engineering skills in Python, Go or a similar language, and experience building automated tests for complex systems. They also need strong debugging skills, CI/CD experience, and the ability to work independently across multiple engineering teams.
CI/CD pipelines, Kubernetes, GPU systems
PureFacts Financial Solutions
5+ YOECandidates need 5+ years of product management experience, including platform, infrastructure, or data products, plus fintech and B2B SaaS experience. They must hold strong technical fluency, experience working with external clients, and the ability to manage competing internal priorities.
Data models, Collaboration, Leadership, Data management, Mobile device management, Regulatory compliance
Mercor
4+ YOECandidates need 4 to 8 years in equity research, hedge funds or asset management, a strong record of fundamental analysis, and advanced financial modeling skills. A CFA or MBA is preferred.
Research, Financial modelling, CFA, ML
Mercor
4+ YOECandidates need 4 to 8 years of buy-side investment experience, a strong record of fundamental analysis and idea generation, and advanced financial modeling skills. Being able to explain complex investment views clearly is also required.
Research, Financial modelling, CFA, ML
Mercor
4+ YOECandidates need 4 to 8 years of equity research, hedge fund or asset management experience, a strong record of fundamental analysis, and advanced valuation skills. A CFA or MBA and experience with alternative data or AI in finance are preferred.
Research, Financial modelling, CFA, ML
Mercor
4+ YOEMercor needs 4 to 8 years of experience in equity research, hedge funds, or asset management. Candidates need a strong fundamental analysis track record, advanced valuation skills, and clear written and verbal communication.
Research, Financial modelling, CFA, ML
Mercor
4+ YOECandidates need 4 to 8 years in equity research, hedge funds or asset management, a strong record of fundamental analysis, and advanced financial modeling and valuation skills. They must explain complex investment views clearly.
Research, Financial modelling, CFA, ML
Mercor
Candidates need a PhD or advanced degree, or equivalent industry experience, in medicine, healthcare, statistics, data science, AI/ML research, computer science, game development, or mechanical/aerospace engineering. Strong attention to detail and excellent written and verbal communication are required.
Research, Work independently, Statistics, ML, Computer science, Aerospace engineering
15 companies