Jobs in Canada

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Added 3 months ago
F
Senior Dev QA Specialist
Fortinet
Burnaby, BC
- Full-time
Demonstrated skills in scripting languages, such as shell, TCL, PERL or Python are considered assets
Added 1 month ago
TH
Post-Doctoral Clinical Research Fellow, Division of Endocrinology
The Hospital for Sick Children
Toronto, ON
- Full-time
Proficiency in R, SAS, Stata, Python, or equivalent statistical software.
Added 1 month ago
RV
Manufacturing Test Developer, Product Engineering
Ross Video
Iroquois, ON
- Full-time
The Test Developer II within Product Engineering plays a key role in ensuring the performance, reliability, and quality of Ross Video products through comprehensive testing, automation, and…
Added 1 month ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
Familiarity with Programming Languages like Java, Python, GO
Added 5 months ago
A
Dynatrace Observability Consultant - Bilingual (FR)
Arctiq
Montreal, Quebec
- Full-time
Experience with database technologies (Oracle, DB2, MS SQL)
Added 3 months ago
H
Engineering Lead
HSBC
Toronto, ON
- Full-time
We currently write software in the following languages: java, javascript, clojure, kotlin, bash(!), python. We're not a big fan of frameworks but it's a team choice and a lot of teams have…
Added 3 months ago
TG
Database Engineer
TMX Group
Toronto, ON
- Full-time
We are seeking a Database Engineer to manage, support, and modernize our server-computing database infrastructure. In this role, you will champion a "Database as Code" philosophy,…
Added 1 month ago
E
BI Dev/Ops Engineer, Sys Admin/Architect
eBay
Toronto, ON
- Full-time
Good understanding of Data Warehousing and Relational database concepts & technologies.
Added 5 months ago
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Senior Specialist - Data Engineering
LTM
Toronto, Ontario
- $100,000 to $120,000 USD / year
- Full-time
Proven experience as Database Developer hands on experience in writing DDLS and DMLS for relational databases
Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Data & Retrieval Pipelines: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG)
Added 5 months ago
ES
DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, British Columbia
- Full-time
Automation & Programming: Experience developing automated solutions using Python, Ruby, or Go, as well as proficiency with configuration management tools such as Chef and Ansible.
Added 1 month ago
A
Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Python for data preparation, automation or analytics.
Added 5 months ago
AC
Guidewire Rating Developer
Aviva Canada
Markham, Ontario
- Full-time
As a Guidewire Rating Developer, you will contribute to the design, development, and maintenance of rating logic and rating‑related components within Guidewire PolicyCenter. You will…
Added 5 months ago
S
Python Developer
Synechron
Montreal, Quebec
- $80,000 to $95,000 CAD / year
- Full-time
We are seeking an experienced and highly skilled Python Developer to join our dynamic team. The ideal candidate will have a strong background in building scalable, high-performance RESTful…
Added 6 months ago
BP
Profit & Loss Controller
BNP Paribas
Montreal, Quebec
- Full-time
Lead new systems deployment which is not limited to being part of TAC/NAC, gathering requirements, testing UAT database, ensuring results match expectations and reporting impacts
Added 2 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Act as a subject matter expert in relational and non-relational database optimization.
Added 3 months ago
RC
Software Engineer
Ribbon Communications
Ottawa, Ontario
- Full-time
· Strong knowledge of API design principles, event driven architecture, fault-tolerant systems, high availability leveraging load balancers, database scaling, CQRS pattern etc.
Added 5 months ago
C
Core Java Developer (contract)
Capgemini
Montreal, Quebec
- Contract
Added 5 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, Quebec
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAl technologies to join the team and drive key initiatives forward.
Added 6 months ago
H
Senior Backend Software Developer, Platform & Services
Hive
Remote, Canada
- $123,600 to $187,900 USD / year
- Full-time
- Remote
Demonstrated expertise in Python/Django, database design, API design, distributed systems
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 1 month ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
Python or other scripting based programming experience
Added 1 month ago
D
Full Stack Engineer
Dexian
Toronto, ON
- Contract
Looking for a Full-Stack Developer who can work across frontend, backend, and database layers, with strong JavaScript/HTML/CSS, VBA/Python, and SQL experience. Agile methodology and…
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Develop and maintain full-stack solutions across a diverse tech stack (Java, Python, Node.js, Angular, Spring Boot), contributing to both front-end and back-end features while continuously…

FactualIQ

Machine Learning Engineer

Remote, Canada

Remote

$160,000 to $190,000 CAD / year · Full-time

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Job details

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

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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