Jobs in Canada

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Added 9 days ago
Senior Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
Full-time
Added 9 days ago
Machine Learning Engineer
MailerMen
Toronto, ON
Contract
Added 9 days ago
Data Scientist, AI Model Risk
Royal Bank of Canada
Toronto, ON
Full-time
Added 9 days ago
Machine Learning Engineer, AI Processors (New Grad to Engineer Level)
Qualcomm
Markham, ON
Full-time
Added 2 months ago
Junior Data Scientist
Modaxo
Montreal, QC · Canada - Montreal, QC
Full-time
Expretio recherche un·e Data Scientist junior pour rejoindre son équipe R&D dynamique basée à Montréal. Au sein d'une équipe AI, vous contribuerez au développement et au support d'Appia,…
Added 9 days ago
Senior Data Scientist
National Bank of Canada
Edmonton, AB
Full-time
Added 9 days ago
Applied Machine Learning Scientist II
TD
Toronto, ON
Full-time
Added 2 months ago
Geological Data Scientist I
Dahrouge Geological Consulting Ltd.
Edmonton, AB
Full-time
· Process and analyse geological data using statistical and machine learning techniques.
Added 9 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
We are seeking an experienced Senior Machine Learning Engineer / Specialist to support an enterprise AI Centre of Excellence (AI CoE) and its Machine Learning and Data Science initiatives.
Added 9 days ago
Data Scientist, Supply Chain & Commercial Analytics
CONA Services
Toronto, ON
Added 9 days ago
Data Scientist, Supply Chain & Commercial Analytics
CONA Services
Toronto, ON
Added 4 months ago
Machine Learning Engineer
Eli Health
Remote, Canada
Full-time · Remote
Added 2 months ago
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, Ontario
Full-time
Added 9 days ago
Staff Data Scientist
Purpose Unlimited
Remote, Canada
Full-time · Remote
Added 9 days ago
Data Scientist
Amaris Consulting
Montreal, QC
Full-time
We are looking for a Data Scientist to join a dynamic technology team supporting data-driven solutions within a global financial services environment. In this role, you will work with large…
Added 9 days ago
Data Scientist II
Insurance Corporation of British Columbia
North Vancouver, BC
Added 4 months ago
Senior Machine Learning Engineer
Loblaw Digital
Toronto, Ontario
Full-time
Added 4 months ago
Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, Ontario
Full-time
Added 4 months ago
Machine Learning Engineer, Underwriting
Bree
Remote, Canada
$130,000 to $230,000 USD / year
Full-time · Remote
Added 2 months ago
Data Scientist or Decision Scientist
Venterra Realty
Richmond Hill, ON
Full-time
Added 2 months ago
Data Scientist
Larus Technologies
Ottawa, Ontario
Full-time
Added 9 days ago
Data Architect
MPA Recruitment
Toronto, ON · Greater Toronto Area, Canada
$170,000 to $200,000 CAD / year
Full-time
As a Data Solution Architect (Manager), you’ll be responsible for a multi- skilled agile team to design and deliver contemporary data solutions. You will be a quality orientated pragmatist,…
Added 9 days ago
Big Data Developer
Cognizant
Toronto, ON
$53,000 to $108,000 CAD / year
Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 4 months ago
Machine Learning Engineer
FactualIQ
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
…You'll own the complete development lifecycle, from synthetic data generation and model…
Added 2 months ago
Lead Data Scientist
Sixone
Burnaby, British Columbia
Full-time

FactualIQ

Machine Learning Engineer

Remote, Canada

Pay: $160,000 to $190,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems.
Posting language: English
Posted: May 6, 2026

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Original job description

About the Role Semantic Enterprise AI (SEAI) builds next-generation Decision Engine workflows that integrate machine learning, agentic automation, and advanced reasoning tools into enterprise products that empower organizations to make better upside decisions faster. As a Machine Learning Engineer (Product AI), you'll build ML/AI tools that power SEAI's Decision Engine for our enterprise clients. You'll own the complete development lifecycle, from synthetic data generation and model development to deploying production APIs and services that autonomous agents will consume. Your work will include simulation pipelines, forecasting tools, RAG systems, and inference services that enable decision intelligence at scale. What You’ll Do Design and deploy ML/AI tools and services that power SEAI's Decision Engine, a multi-agent workflow platform that integrates ML and LLM capabilities for enterprise decision-making. Own the full ML lifecycle: feature engineering, model development, experimentation, A/B testing, deployment, and performance optimization at scale.. Build production-grade LLM and RAG-based tools for retrieval, reasoning, and inference that AI agents can call as part of automated workflows. Create robust APIs and SDKs that expose ML models as reusable, production-grade services with clear contracts, error handling, and observability. Develop synthetic data generation pipelines to create training datasets, accelerate model iteration, and enable rapid customization for client-specific use cases. Collaborate with platform and agent teams to understand requirements, define tool interfaces, and ensure ML services integrate seamlessly into engine workflows. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related technical field (or equivalent practical experience). 5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems. Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar). Production experience with cloud ML platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, Kubeflow, or similar). Experience with modern LLM and retrieval-based systems including RAG architectures, vector databases, and embeddings. Experience developing synthetic data generation pipelines or data simulation systems for ML training and evaluation. Demonstrated ability to build and deploy scalable model APIs and production ML infrastructure. Proficiency with SQL, data pipelines, and feature engineering workflows. Familiarity with CI/CD practices, containerization (Docker), and version control (Git). Preferred Qualifications Expertise in forecasting, time series, network analytics, optimization, or reinforcement learning. Experience with LLM orchestration frameworks (LangChain, LlamaIndex, DSPy), prompt engineering strategies, or multi-modal LLM applications. Experience with advanced vector database optimization, hybrid search strategies, or embedding model customization. Experience with distributed model training, model optimization at scale, or high-performance production ML systems. Knowledge of bias detection, hallucination mitigation, prompt injection defenses, or compliance frameworks. Cloud ML certification, open-source contributions, or published ML research. We value diverse perspectives and encourage all qualified candidates to apply, even if you don't match every qualification perfectly. We are currently seeking candidates who are legally authorized to work in the United States or Canada. Preference will be given to applicants located in Washington, Oregon, or British Columbia. We are committed to providing equal employment opportunities and do not discriminate based on race, color, religion, sex, national origin, age, disability, or genetic information. Salary Range: Up to $137,500 USD (US) / $190,000 CAD (Canada), depending on experience and location.

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