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PricewaterhouseCoopers LLP
Candidates need significant experience in technology transformation, operations or strategy, including infrastructure, data, AI or digital work. Strong business analysis, client communication and project delivery skills are required, along with the ability to travel to client sites across Canada.
Strategic planning, Negotiate with stakeholders, Logistics, Research, Prioritization, Project management
Georgian Partners Growth
Candidates need to be pursuing or have recently completed a Master's or PhD in computer science, engineering, statistics or a related quantitative field. They need Python skills, familiarity with machine learning toolkits such as PyTorch or TensorFlow, and the ability to communicate findings clearly.
Python, PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex
AutoTrader.ca
Candidates need strong experience with TypeScript, modern React and Next.js, and production .NET systems. They should show solid engineering fundamentals, ownership of outcomes, and daily use of AI tools to improve their own productivity.
CMS, Decision making, Leadership, Problem solving, TypeScript, React
AutoTrader.ca
Candidates need strong experience with TypeScript, modern React and Next.js, and production .NET systems. They also need solid engineering fundamentals, comfort in production environments, and skill using generative AI tools in daily engineering work.
TypeScript, React, Next.js, .NET
AutoTrader.ca
6+ YOECandidates need an advanced degree in a technical field and 6+ years of building production ML systems. They need strong Python, AWS and MLOps skills, practical GenAI or LLM experience, and the ability to lead through influence and mentorship.
Python, AWS, ML frameworks
AutoTrader.ca
10+ YOECandidates need an advanced degree in a quantitative field and 10+ years of applied machine learning experience with models in production. Strong Python, SQL, cloud, MLOps and LLM skills, plus excellent communication and leadership, are required.
Python, SQL, TensorFlow, PyTorch, scikit-learn, Hugging Face
Confluent
5+ YOECandidates need 5+ years of product management experience, ideally in infrastructure, data platforms or cloud products. They must show strong influence without authority, clear communication, and genuine interest in distributed systems; Kafka knowledge is not required.
Kafka
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOECandidates need 8+ years of data science and machine learning experience, including 2-3 years on LLM architecture and agent design, plus a master's degree or higher. Hands-on experience with Google Vertex AI and Gemini, fine-tuning pipelines, and leading teams is required.
Vertex AI, Gemini Enterprise, Agent Builder, Microsoft AI Foundry, AWS Bedrock, PyTorch
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOEArtefact needs 8+ years in software engineering and AI, including 2 to 3 years on LLM and agentic architecture. Candidates need a master's degree or higher, production deployments on Google Vertex AI or Gemini Enterprise, hands-on agent frameworks and team leadership experience.
Google Vertex AI, Gemini Enterprise, LangGraph, LangChain, Google ADK, Claude Agent SDK
Levio
6+ YOELevio needs candidates with 6+ years of engineering experience, including 3+ years in GenAI or agentic systems. Candidates must show recent hands-on production code, real customer-embedded experience, and proven evaluation and guardrail skills.
LangGraph, MCP, AWS Bedrock, Azure OpenAI, GCP
Levio
6+ YOECandidates need a bachelor's degree in business, technology, or change management, plus 6+ years in change management or technology adoption. They need enterprise adoption experience with complex technologies, a strong grasp of AI concepts, and excellent communication and stakeholder skills.
Process improvement, Change management, Communication skills, Stakeholder management
Mistral
2+ YOECandidates need at least 2 years as a technical individual contributor on AI products, strong Python skills, and experience with APIs, RAG, agents or LLM fine-tuning. They must explain complex technical ideas clearly to technical and non-technical audiences.
Python
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
1+ YOECandidates need 1-3 years of full-stack development experience, proficiency in Python and TypeScript, and experience with REST APIs and cloud infrastructure. Experience building LLM-powered or GenAI products is also required.
Next.js, Tailwind CSS, Shadcn, Docker, Kubernetes
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
3+ YOECandidates need hands-on experience building LLM and retrieval-based AI solutions on Databricks, strong Python and software engineering skills, and a computer science degree or equivalent. Three to five years of experience with one to two years in GenAI projects is preferred.
Databricks, MLflow, Unity Catalog, Vector Search, Python, Git
AutoScout24: The company's footprint includes the European core markets of Germany, Belgium, Luxembourg, the Netherlands, Italy, France, Austria, Norway,…
Candidates need strong experience with TypeScript, modern React/Next.js and production .NET systems, plus solid engineering fundamentals and comfort with production operations. Proven use of generative AI tools to boost daily engineering productivity is also required.
TypeScript, React, Next.js, .NET, AI-assisted coding tools
AutoScout24: The company's footprint includes the European core markets of Germany, Belgium, Luxembourg, the Netherlands, Italy, France, Austria, Norway,…
Candidates need strong senior-level experience with TypeScript, modern React or Next.js and production .NET systems, plus solid engineering fundamentals in testing, clean code and system design. Using AI and GenAI tools to improve engineering productivity is highly valued.
TypeScript, React, Next.js, .NET
16 companies