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Added 5 months ago
A
Intermediate Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
…about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from…
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Canada
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Calgary, Alberta
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
We are building that system. A cross-portfolio data lake on open table formats, with a feature store on top that makes the data agent-readable. An action layer that runs workflows across…
Added 5 months ago
V
Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
- Full-time
…United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and…
Added 5 months ago
H
AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
Added 5 months ago
CP
Data Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 CAD / year
- Full-time
- Remote
Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level.
Added 5 months ago
H
Applied AI Scientist (Hybrid)
Homebase
Remote, Canada
- $108,000 to $130,000 CAD / year
- Full-time
- Remote
At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive…
Added 5 months ago
T
Applied Scientist, Pro Growth
Thumbtack
Remote, Canada
- Full-time
- Remote
We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have…
Added 5 months ago
F
Software Dev QA Specialist
Fortinet
Burnaby, BC
- Full-time
Reproduce and troubleshoot bugs with developers to ensure defects are correctly identified and resolved.
Added 5 months ago
S
Associate AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
Added 5 months ago
LS
AI Toolchain Software Developer
Lattice Semiconductor
Montreal, Quebec
- Full-time
Proficiency in Python, with the ability to write clean, maintainable code for both prototyping and production environments.
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 5 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
Added 5 months ago
F
Security Researcher
Fortinet
Burnaby, British Columbia
- Full-time
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At…
Added 5 months ago
SA
Staff Research Scientist, Dexterous Manipulation
Sanctuary AI
Vancouver, British Columbia
- Full-time
…the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous…
Added 5 months ago
SA
Machine Learning Research Intern (Reinforcement/Imitation Learning)
Sanctuary AI
Vancouver, British Columbia
- Internship
…and machine learning skills as well as hands-on experience with robotics. In this role you’ll be a valued contributor and you’ll gain a comprehensive understanding of the design,…
Added 6 months ago
T
Machine Learning Engineer II
TD
Remote, Canada
- Full-time
- Remote
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 months ago
W
(CAN) Solution Consultant II
Walmart
Mississauga, Ontario
- Full-time
The role also contributes to building and scaling test automation practices, while collaborating closely with cross-functional teams.
Added 6 months ago
8S
Full Stack Engineer
8090 Solutions Inc
Toronto, ON
- Full-time
We seek an exceptional, full-stack software developer with high technical competency and intellectual curiosity to join our team. To succeed, you must enjoy thinking in systems and…
Added 6 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
Added 6 months ago
F
Senior Security Engineer
FISPAN
Vancouver, British Columbia
- $130,000 to $160,000 CAD / year
- Full-time
…companies bank. Being the market leader in ERP Banking, we work with the world’s Tier 1 banks with assets exceeding $3T, including J.P. Morgan Chase, Wells Fargo, TD and Bank of…
Added 6 months ago
HM
Senior Backend Engineer (.NET & AI/ML)
HW Management Inc
Vancouver, British Columbia · Toronto, Ontario · Alberta
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
C
AI Engineer
Chubb
Toronto, ON
- Full-time
2 - 5 years’ experience in AI Engineering and/or Machine Learning (ML) with a focus on LLMs, with deep expertise in writing, and reviewing production code in Python
Added 2 months ago
Développeur logiciels - Software Developer
OneSpan
Montreal, QC
A Software Developer in Test (SDET) is a hybrid role that blends software engineering expertise with deep testing skills. SDETs design, develop, and maintain automated test frameworks,…

Chubb

AI Engineer

199 Bay Street, Suite 2500, Toronto, ON, M5L 1E2, Canada

Full-time

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Job details

Job type: Full-time
Experience: 2 - 5 years’ experience in AI Engineering and/or Machine Learning (ML) with a focus on LLMs, with deep expertise in writing, and reviewing production code in Python
Posting language: English
Posted: May 4, 2026

Original job description

KEY OBJECTIVES:

We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program. This role sits at the intersection of finance, technology, and governance, enabling the development of intelligent, compliant-by-design solutions that support key Finance functions at a global level.

You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the enterprise.

MAJOR RESPONSIBILITIES:

Lead the architecture, design, and development of AI/ML solutions at a global level to support finance and controllership processes (e.g., close, reconciliation, reporting, anomaly detection etc).
Build scalable, reusable core AI capabilities that can be leveraged across multiple finance use cases and geographies.
Translate business requirements into robust technical solutions, ensuring alignment with enterprise architecture and data strategy.
Collaborate with Finance, IT, Data & Analytics, Legal, Compliance, Security, Enterprise Architecture and Risk teams to design and implement compliant-by-design AI solutions.
Ensure adherence to regulatory requirements, data privacy laws, and internal governance frameworks.
Develop and deploy models using modern AI/ML frameworks; ensure model performance, monitoring, and lifecycle management.
Identify opportunities to automate and optimize finance processes using AI (e.g., intelligent automation, NLP, predictive analytics).
Provide technical leadership and mentorship to junior engineers and cross-functional teams.
Ensure high quality code that meets business objectives, quality standards and development guidelines.
Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows while driving adoption of MLOps best practices, including CI/CD pipelines, versioning, testing, and model governance.
Manage project stakeholder expectations and issue communications on progress.
React to shifting priorities without compromising deadlines and momentum.
Stay current with emerging AI technologies and assess their applicability within finance and risk-controlled environments.

Qualifications

QUALIFICATIONS:

Must have:
- 2 - 5 years’ experience in AI Engineering and/or Machine Learning (ML) with a focus on LLMs, with deep expertise in writing, and reviewing production code in Python
- Understanding the development lifecycle for LLMs - developing data sets for pre-training, instruction tuning, and preference alignment alongside the modelling techniques for each stage and LLM deployment is as MAJOR plus
- Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale
- Experience building and deploying solutions on cloud platforms (AWS, Azure, or GCP)
- Experience on distributed, high throughput and low latency architectures
- Strong fundamentals in NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Experience building software on top of major container technology (Kubernetes, Docker etc.)
- Knowledge of version control using Jenkins, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
- Solid understanding of data engineering concepts and working with large-scale datasets
- Experience implementing ML Ops practices and production-grade AI systems
- Familiarity with data privacy, model governance, and responsible AI principles

Nice to have:
- Experience and Knowledge of Finance Domain: Understanding of finance concepts, workflows, or platforms is a strong asset for this role along with Knowledge of financial processes such as close, consolidation, reporting, and audit
- Exposure to regulatory and compliance frameworks (e.g., SOX, GDPR, model risk management)
- Experience with ERP systems (e.g., SAP, Oracle) and finance data ecosystems
- Experience defining system architecture and exploring technical feasibility tradeoffs is a plus
- Strong understanding of AI risk, explainability, and auditability
- Familiarity with end-to-end application development using full stack is a plus
- Experience in P&C insurance is a plus

Key Competencies:
- Strong problem-solving and analytical thinking
- Ability to work across cross-functional and global teams
- Excellent communication and stakeholder management skills
- High attention to governance, risk, and compliance considerations
- Ability to balance innovation with control and scalability

What Success Looks Like:
- Delivery of scalable AI capabilities embedded within finance processes
- Measurable improvements in key KPIS - efficiency, accuracy, and compliance
- Strong adoption of AI solutions across finance teams globally
- Robust governance and audit-ready AI implementations

Chubb Canada does not use artificial intelligence (AI) tools to assess, screen, or select applicants.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.

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More about this job

Responsibilities

Lead the design and development of scalable, compliant AI/ML solutions to optimize global finance and controllership processes. Collaborate with cross-functional teams to implement reusable AI capabilities and MLOps best practices across the enterprise.

Requirements

Requires 2-5 years of experience in AI/ML with deep expertise in Python and LLM frameworks like PyTorch and Transformers. Candidates should have experience with cloud platforms, containerization, and a strong understanding of NLP and data engineering.

Skills

AI Engineering
Machine Learning
Large Language Models
Python
PyTorch
Cloud Platforms
NLP
Kubernetes
Docker
MLOps
Data Engineering
Model Governance
CI/CD
Distributed Architectures
Financial Analysis
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
LLM
Python
PyTorch
Transformers
TRL
DeepSpeed
AWS
Azure
GCP
Kubernetes
Docker
Jenkins
GitHub Actions
GitLab CI
Azure DevOps
MLOps
NLP
Finance Transformation
SOX
GDPR
SAP
Oracle
P&C Insurance
Model Risk Management
CI/CD
Data Privacy
Responsible AI
Distributed Architecture

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