Jobs in Canada

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Added 1 month ago
Senior Manager, Community Programs
Homeward Trust Edmonton
Edmonton, AB
The Senior Manager, Community Programs plays a pivotal leadership role within the organization, leveraging extensive experience in homelessness services to drive innovation, enhance program…
Added 1 month ago
Senior Product Manager, Wealth Ecosystem
Purpose Unlimited
Toronto, ON
Platform stability and client success You will resolve systemic issues with the investment book of record, driving full client adoption and eliminating recurring breaks through root cause…
Added 1 month ago
RH
Senior Paid Social Specialist
Robert Half
Toronto, ON
- $30 to $45 CAD / hour
Partner with planning teams to shape campaign approaches that align with client objectives and strengthen overall paid social strategy.
Added 1 month ago
Environmental Project Manager
Onterris Canada Inc.
Edmonton, AB · Calgary, AB · Grande Prairie, AB
As an Intermediate Environmental Project Manager in our Edmonton office or remote Alberta you’ll be responsible for assisting with multiple projects where you will have increasing…
Added 1 month ago
Senior Project Manager/Leader
modis
Toronto, ON
Client Location: Toronto (Onsite: 7.25 hours/day between 8:00 AM and 5:00 PM, Monday to Friday)
Added 1 month ago
CF Carrefour Laval (21) - Assistant Store Manager
Zwilling J.A. Henckels Canada Ltd
Laval, QC
…store management team, you'll play a vital role in shaping the success of our store. We're seeking an Assistant Store Manager to help drive operational excellence, business growth, and…
Added 1 month ago
CF Carrefour Laval (21) - Assistant Store Manager
Zwilling J.A. Henckels Canada Ltd
Laval, QC
…store management team, you'll play a vital role in shaping the success of our store. We're seeking an Assistant Store Manager to help drive operational excellence, business growth, and…
Added 1 month ago
Service Manager, Laval
VinFast Auto Canada
Laval, QC
As the Service Manager, you will be responsible for managing your Service Centre team, ensuring that an exceptional client experience is delivered to VinFast customers during ownership.…
Added 1 month ago
Client Relationship Specialist - Implementation
Equitable CA
Vancouver, BC
We are seeking a Client Relationship Specialist – Implementation to join our Group Benefits team. As a key member of our Head Office Group Benefits team, you will play a critical role in…
Added 1 month ago
D
Business Development, Marketing & Community Relations Coordinator Intern
Dumas
Timmins, ON
- $75,000 to $80,000 CAD / year
Rotation: Monday to Friday in Office
Added 1 month ago
Utility Program Lead
BGIS
Toronto, ON
…continuous improvement of utility management services by leading client transitions, coordinating cross-functional projects, and managing client reporting and governance activities. The…
Added 1 month ago
IT Solutions Project Manager
F12.net
Calgary, AB
The Position: The IT Solutions Project Manager is a hands-on, outcomes-focused, permanent internal role. The successful candidate will oversee multiple client engagements and be accountable…
Added 1 month ago
Casual Residence Worker, Mental Health (Maple Place | Coquitlam)
Connective Support Society
Coquitlam, BC
Reports and is accountable to the Program Manager of the facility or their designate
Added 1 month ago
CS
PT Residence Worker, Youth and Child (Sage House)| Friday- Monday
Connective Support Society
Port Coquitlam, BC
- $27.54 to $31.61 CAD / hour
Reports and is accountable to the Program Manager of the facility or their designate
Added 1 month ago
Sales Representative - DPM
Tridel
Toronto, ON
We recognize our employees are the key to our success, and we invest in creating a meaningful employee experience and culture that promotes:
Added 1 month ago
Practice Manager- Central Animal Hospital, Vernon
VetStrategy
Vernon, BC
We are seeking a dynamic and experienced veterinary Practice Manager to lead our team at Central Animal Hospital, Vernon and ensure the smooth operation of our veterinary practice. This…
Added 1 month ago
Medical Director Veterinarian - Central Animal Hospital (Vernon)
VetStrategy
Vernon, BC
Work closely with the Practice Manager and Operations team to support the success of the hospital
Added 1 month ago
Medical Director Veterinarian - Central Animal Hospital (Vernon)
VetStrategy
Vernon, BC
Work closely with the Practice Manager and Operations team to support the success of the hospital
Added 1 month ago
Sales Manager
Sandman Hotel Group
Edmonton, AB
…hospitality group, we believe the foundation of our continued success is our people and their ability to take great care of our…
Added 1 month ago
Sales Representative
Randstad Canada
Winnipeg, MB
…operations, providing essential support to the Air Division Manager and outside sales teams. This is not just a sales job; it is a career-building opportunity within this industry where…
Added 1 month ago
General Manager
Corporate Compass Group Canada
London, ON
The General Manager is responsible for all aspects of the operation including: budgeting, financial management and weekly analysis, implementation and ongoing success of retail and…
Added 1 month ago
Manager, Microsoft Dynamics
Deloitte
Montréal, QC
…Dynamics 365 and Power Platform? Do you thrive on building trusted client relationships, leading high-performing teams, and helping organizations realize measurable business value through…
Added 1 month ago
Recruitment Manager/ Recruitment Lead
emergiTEL Inc.
Toronto, ON
…matching the right talent with the right opportunities. Our success is built on long-term client relationships, a results-driven culture, and an environment that supports our employees in…
Added 1 month ago
A
Directeur(trice) de Comptes/Account Executive
Altis
ON
- $65,000 to $80,000 CAD / year
Location: Montreal, QC On-site 5 days per week
Added 1 month ago
SR
Water Damage Technician
ServiceMaster Restore of Penticton
Penticton, BC
- $20 to $28.5 CAD / hour
…homes and businesses (such as fires and floods). We believe success is achieved by putting our 3 Core Values into…

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON, Canada
Vancouver, BC, Canada

Apply on careers.kpmg.ca About employer

Applications open in a new tab.

Job details

Apply by: Apr 7, 2027
Experience: 5+ years of professional experience in machine learning, data science, AI engineering, or a related field, with demonstrated experience delivering production ML solutions.
Posting language: English
Posted: Apr 7, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer with deep experience in AI/ML engineering and AI/ML engineering operations who can partner with clients to design, build, and operationalize AI‑powered solutions at scale.

This role will focus on translating advanced analytics, machine learning, and generative AI use cases into secure, scalable, and production‑ready solutions across on-prem and cloud environments (ideally on Azure but also GCP and AWS).

What you will do

Partner with clients to understand business problems and identify opportunities to apply AI and advanced analytics solutions.
Translate business and analytical requirements into end‑to‑end ML/AI solution design,
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow).
Develop and optimize AI and GenAI solutions using state-of-the-art tools and platform (AI Foundry, GCP Vertex AI, AWS Sagemaker and Bedrock).
Operationalize AI/ML pipelines using AI/ML Ops best practices, including model deployment versioning, CI/CD, automated testing, and monitoring.
Implement model monitoring, performance tuning, drift detection, and retraining strategies in production environments.
Collaborate with data engineers to ensure reliable, scalable data pipelines that support model training and inference.
Apply responsible AI principles, including explainability, bias detection, model governance, and compliance with security and privacy standards.
Support client workshops, technical discussions, and stakeholder presentations related to AI strategy, solution design, and implementation.

What you bring to the role

University degree in computer science, engineering, data science, mathematics, or a related discipline.
5+ years of professional experience in machine learning, data science, AI engineering, or a related field, with demonstrated experience delivering production ML solutions.
Strong proficiency in Python for data analysis, machine learning, and model development.
Hands‑on experience with machine learning frameworks/libraries and platform tools (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow).
Solid understanding of ML algorithms, statistics, model evaluation techniques, and feature engineering.
Experience designing and implementing end‑to‑end ML pipelines, including data preprocessing, model training, validation, deployment, and monitoring.
Practical experience with ML Ops practices, including CI/CD, model versioning, experiment tracking, and automated retraining.
Experience deploying ML models to cloud environments (Azure, AWS, or GCP) with an understanding of cloud‑native architecture and security principles.
Familiarity with big data or distributed processing frameworks (e.g., Spark) is an asset.
Experience with generative AI, large language models (LLMs), prompt engineering, or retrieval‑augmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
Strong consulting and communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
Proven ability to collaborate within cross‑functional and multi‑disciplinary teams to solve complex business problems.

Certifications (Preferred)

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or better, Databricks Generative AI Engineer).

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $103,000 to $135,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $101,000 to $130,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Apply on careers.kpmg.ca About employer

More about this job

Responsibilities

The ML/AI Engineer at KPMG will work with clients to find business problems that AI can solve, then build and deploy models and pipelines. The role covers data preparation, model development, production operations, monitoring, and presenting solutions to clients.

Requirements

Candidates need a university degree in a technical field and 5+ years of machine learning or AI engineering experience with production deployments. Strong Python, cloud ML platform and MLOps skills are required, along with generative AI and LLM experience.

Skills

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
AI Foundry
GCP Vertex AI
AWS SageMaker
AWS Bedrock
Spark
CI/CD
Model versioning
Experiment tracking
Model monitoring
Drift detection
Retrieval-augmented generation
Prompt engineering
Fine-tuning
Feature engineering
Forecasting
Classification
Recommendation
Anomaly detection
Client consulting

Benefits

Comprehensive Total Rewards program
Bonus eligibility
Career development support

Keywords

Machine Learning Engineer
AI Engineer
MLOps
Generative AI
LLM
RAG
Python
Azure ML
Databricks
MLflow
Vertex AI
SageMaker
Bedrock
Data Science
Model Deployment
CI/CD
Responsible AI
Consulting
Cloud
Big data

Seniority

Manager

Perks

Performance bonus

Tools

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
Spark
AI Foundry
Vertex AI
SageMaker

Languages

English

Fields of study

Computer science
Engineering
Data science
Mathematics

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Work requirements

Jobs in Canada