Jobs in Canada

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Added 12 hours ago
Infrastructure Engineer
T&T Supermarket
ON
Reporting to the Senior IT Manager - Technology Enablement, the Infrastructure Engineer is responsible for supporting the Cloud and on-premises systems development, implementation and…
Added 12 hours ago
Senior Software Engineer
Dye & Durham Corporation
Montréal, QC
We are looking for a Senior Software Engineer who will be responsible for developing, maintaining, and enhancing in-house software applications that are critical to business operations and…
Added 12 hours ago
M
Architecte de solutions cloud - Cloud et IA | Applications et innovation / Cloud Solution Architect
Microsoft
Québec, QC · Montréal, QC
- $96,000 to $177,600 CAD / year
- Full-time
- On-site
…deployed, governed and operated as first-class components of the solution. We therefore expect demonstrated depth in Azure Machine Learning and Azure AI Foundry alongside modern application…
Added 12 hours ago
A
Bulk Handling Senior Engineer
Arcadis
Québec, QC
- Full-time
Le candidat assure un leadership professionnel dans sa discipline dans l'Est du Canada, établissant et consolidant les relations avec les clients, gèrant la réalisation de projets de grande…
Added 12 hours ago
I
Data Engineer Sr
Insight
Toronto, ON
- Full-time
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 13 hours ago
Sr. Engineer / Sr. Analyst - Electrical, Control & Instrumentation
Kinectrics
Kincardine, ON
Shift workers may be assigned 8-10-12 hour shifts and be required to workday, afternoon and/or night shifts · Rotating shifts, overtime, weekend and field work may be required)
Added 13 hours ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
- Full-time
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…
Added 13 hours ago
CE
Vice President, EC6 Product Development
Candu Energy Inc.
Mississauga, ON · Pickering, ON
- Full-time
…capture activities, and position the EC6 as a scalable, bankable solution for global deployment. Through disciplined leadership, innovation, and collaboration, the Vice President will help…
Added 2 days ago
R
Environmental Geoscientist - Senior
RWDI
Windsor, ON
- $110,000 to $150,000 CAD / year
- Full-time
RWDI is seeking an energetic Senior Environmental Geoscientist or Engineer to join our Geoscience team in Ontario.
Added 2 days ago
R
Environmental Geoscientist - Senior
RWDI
London, ON
- $110,000 to $150,000 CAD / year
- Full-time
RWDI is seeking an energetic Senior Environmental Geoscientist or Engineer to join our Geoscience team in Ontario.
Added 7 days ago
Senior Software Engineer (.NET)
Electronic Arts
Vancouver, BC
The role is Hybrid in Vancouver (3 days in office)
Added 8 days ago
B
Civil Engineer – Senior Level (Hybrid)
Barr
Saskatoon, SK
- $115,000 to $170,000 CAD / year
- Full-time
Barr is seeking a senior civil engineer with experience in civil design and construction to join our Saskatoon office. This person will undertake challenging and progressive work, including…
Added 9 days ago
Y
Sales Engineer - Upstream
Yokogawa
NB · Chiasson Office, NB
- Full-time
Carry out a range of activities under the guidance of more senior colleagues to support the analysis of information, the specification of the methods, process steps, and the plant,…
Added 14 days ago
AA
Architecte PLM Senior / Senior PLM Architect
Airbus Aircraft
Montreal, QC
- Full-time
Le programme d'avions commerciaux A220 recherche d’un.e Architecte PLM Senior pour rejoindre notre équipe de Stratégie Transverse Ingénierie basée à Mirabel (Québec, Canada), où vous…
Added 15 days ago
A
Architecte PLM Senior / Senior PLM Architect
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Le programme d'avions commerciaux A220 recherche d’un.e Architecte PLM Senior pour rejoindre notre équipe de Stratégie Transverse Ingénierie basée à Mirabel (Québec, Canada), où vous…
Added 15 days ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 16 days ago
V
Senior Application Engineer - Robotics / Ingénieur(e) d’applications principal(e) – Robotique
Vention
Montreal, QC
- Full-time
You will design the high-level concept of industrial automation equipment and evaluate the cost of the solution
Added 22 days ago
VC
Account Manager
Veritas Communications
Lasalle, ON
- Full-time
Note that all new hires are required to be in-office three-days per week for the first 90-days
Added 23 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 24 days ago
C
Software Engineer – AI-Assisted Development
CGI
Montreal, QC
- Full-time
Design, develop, modernize and maintain complex applications aligned with clients’ business needs, in accordance with the direction and standards set by the solution architect.
Added 24 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 26 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 28 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 28 days ago
WI
Senior Geotechnical Engineer
WSP in Canada
London, ON
- Full-time
WSP is seeking a Senior Geotechnical Engineer to join our Ground Engineering West team based in London, Ontario. In this role, you will combine technical expertise with business development…
Added 28 days ago
C
Senior Transportation Engineer
CIMA+
Calgary, AB
- Full-time
With continued growth in Alberta’s transportation sector, CIMA+ is seeking a Senior Transportation Engineer to join our Calgary team. This leadership role is focused on delivering varied…

KPMG

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

Full-time

Apply on careers.kpmg.ca About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 7, 2027
Experience: 3+ 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.
3+ 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 $77,000 to $102,000 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 $73,000 to $100,000 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 Senior Consultant at KPMG will work with clients to find where AI can solve business problems and build and deploy machine learning and generative AI solutions. They will also run model pipelines in production, monitoring performance and retraining models over time.

Requirements

Candidates need a university degree in a technical field and 3+ years of professional ML or data science experience with production deployments. Strong Python skills, cloud experience (Azure, AWS or GCP), and GenAI or LLM experience are essential.

Skills

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
Azure AI Foundry
GCP Vertex AI
AWS SageMaker
AWS Bedrock
Spark
CI/CD
Model versioning
Experiment tracking
Model monitoring
Drift detection
Generative AI
Large language models
Prompt engineering
Retrieval-augmented generation
Fine-tuning
Feature engineering
Model evaluation
Responsible AI
Explainability

Benefits

Total Rewards program
Bonus eligibility

Keywords

Machine Learning Engineer
AI Engineer
MLOps
Generative AI
LLM
RAG
Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
AWS SageMaker
AWS Bedrock
GCP Vertex AI
Spark
consulting
data science

Seniority

Senior

Perks

Performance bonus

Tools

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
AWS SageMaker
AWS Bedrock
GCP Vertex AI
Spark

Languages

English

Fields of study

computer science
engineering
data science
mathematics

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Work requirements

Jobs in Canada