Closed listing
AI Engineer
- Toronto, ON, Canada
$250,000 to $300,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $250,000 to $300,000 CAD / year
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Lead AI Engineer, Client Delivery
Toronto, Canada | CA$180K-CA$300K base + equity
About Us
My client is a growing Fintech Operations specialist.
The Role
Our client delivery seat: own each ML/AI engagement end to end, from scoping through build, deployment and handoff, as the single technical and strategic contact for fintechs from startups to mature firms.
Responsibilities
- Scope, build and deliver client engagements
- Lead small project teams
- Design and deploy ML solutions across varied domains
- Evaluate emerging tools and apply the right ones
Requirements
- 6+ years of hands-on ML, shipping models to production
- Depth in predictive ML, computer vision or LLM/agentic systems
- Cloud AI platforms (Bedrock, Vertex AI, Azure AI Foundry) and Docker
- Python or TypeScript, SQL, Git; LangChain, LlamaIndex or similar
- Experiment tracking (MLflow, W&B)
- Clear communicator with executives and skeptical engineers
- Bonus: owned a client-facing engagement end to end
More about this job
Responsibilities
Lead client AI and machine learning engagements from scoping through development, deployment, and handoff, serving as the primary technical and strategic contact. Lead small project teams, design and deploy ML solutions across varied domains, and evaluate emerging tools for client needs.
Requirements
Requires at least six years of hands-on machine learning experience, including shipping models to production, with depth in predictive ML, computer vision, or LLM and agentic systems. Candidates should have experience with cloud AI platforms, Docker, Python or TypeScript, SQL, Git, an LLM framework, experiment tracking, and clear communication with executives and engineers.
Skills
- Machine Learning
- Artificial Intelligence
- Predictive Modeling
- Computer Vision
- Large Language Models
- Agentic Systems
- Amazon Bedrock
- Vertex AI
- Azure AI Foundry
- Docker
- Python
- TypeScript
- SQL
- Git
- LangChain
- LlamaIndex
Benefits
- Equity
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
- Consulting
Keywords
- Fintech
- Financial Services
- Client Delivery
- Machine Learning
- Artificial Intelligence
- Production Models
- Predictive Modeling
- Computer Vision
- Large Language Models
- Agentic Systems
- Amazon Bedrock
- Vertex AI
- Azure AI Foundry
- Docker
- Python
- TypeScript
- SQL
- Git
- LangChain
- LlamaIndex
- Experiment Tracking
- MLflow
- Weights & Biases
- Project Leadership
- Model Deployment
- Client Engagements