Closed listing
Senior Machine Learning Engineer
- Toronto, ON, Canada
$150,000 to $250,000 USD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $150,000 to $250,000 USD / year
- Job type
- Full-time
- Closing date
- Experience
- 12+ years of experience building production ML/AI systems
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
This is a rare opportunity to help define the AI strategy and technical foundations of a growing innovation hub. The team is looking for a senior, hands-on ML engineer who thrives in greenfield environments, enjoys tackling complex AI challenges, and wants to influence architecture, engineering standards, and the future direction of AI products. If you're excited by experimentation, continuous learning, technical ownership, and the opportunity to turn cutting-edge AI research into production-ready solutions, this role offers meaningful impact and significant career growth.
Required Skills & Experience
- 12+ years of experience building production ML/AI systems
- Bachelors degree in Machine Learning, Computer Science, Data Science, Applied Mathematics or a related field
- Strong proficiency in Python and modern machine learning frameworks
- Extensive experience with Gen AI, LLMs. RAG architectures, and model fine-tuning
- Experience designing and architecting scalable ML systems from the ground up
- Experience with Docker, Kubernetes, AWS and/or Azure
- Proven experience mentoring engineers and leading technical initatives through influence and expertise
- Experience with multi-agent systems, agentic workflows, and AI orchestration platforms
- Strong background in MLOps, model serving platforms, and cloud-native ML infrastructure
- Experience building greenfield AI products or working in innovation-focused environments
Tech Breakdown
- 50% Machine Learning & Generative AI Development
- 20% ML Architecture % System Design
- 15% Cloud Infrastructure & MLOps
- 15% AI research, Experimentation & Innovation
- 80% Hands On
- 20% Team Collaboration
Use of AI in Hiring: No
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
Posted By: Emma Borges
More about this job
Responsibilities
The role involves developing next-generation machine learning platforms and intelligent automation solutions using Generative AI and LLMs. The engineer will lead technical initiatives, design scalable ML architectures, and turn AI research into production-ready solutions.
Requirements
Candidates must have over 12 years of experience building production ML/AI systems and a degree in a relevant field like Computer Science or Data Science. Proficiency in Python, modern ML frameworks, and cloud platforms such as AWS or Azure is required.
Skills
- Python
- Large Language Models
- Generative AI
- Agentic Systems
- RAG Architectures
- Model Fine-tuning
- Docker
- Kubernetes
- AWS
- Azure
- MLOps
- System Design
- ML Architecture
- AI Orchestration
- Multi-agent Systems
- Cloud Infrastructure
Visa sponsorship
Not detected in the job text
Hiring contact
Emma Borges
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Science & Research
Keywords
- Machine Learning
- Generative AI
- LLMs
- RAG
- Python
- MLOps
- Docker
- Kubernetes
- AWS
- Azure
- Agentic Workflows
- AI Orchestration
- System Design
- Cloud-native
- Fine-tuning
- Production ML
- Financial Analytics
- Innovation Hub
- Scalable Systems
- AI Research