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Added 2 months ago
SC
Sales Specialist (on the road) - Saskatoon (SK)
Staples Canada
Saskatoon, SK
- $60,000 to $65,000 USD / year
- Full-time
Develop and execute implementation plans for newly sold category solutions, including customizing offerings and addressing any client-specific challenges to drive customer satisfaction.
Added 2 months ago
ON
Associé aux ventes (tôt le matin)/Retail Sales Associate (Early Morning) - Marche Central Metro
Old Navy
Montreal, QC
- Part-time
…liens avec nos clients, tout en leur fournissant un excellent service à la clientèle. Vous agirez à titre d’expert des produits afin d’informer et d’inspirer les clients, et de leur…
Added 2 months ago
VA
Hospital Manager, VCA Canada Horizon Group
VCA Animal Hospitals
Calgary, AB
- Full-time
VCA Canada is welcoming an experienced veterinary Client Service professional to join our leadership team as a Hospital Manager. In this role, you will support operational initiatives…
Added 2 months ago
Bilingual Customer Excellence Associate / Collaborateur Chargé De L’excellence Client (Bilingue)
IMCD Group B.V.
Canada
The Customer Excellence Associate embodies core values such as entrepreneurial spirit, freedom to act, partnership, integrity and trust, and financial discipline. They think like an owner,…
Added 2 months ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse…
Added 2 months ago
Cybersecurity - Cloud Security - Senior Consultant
EY
Edmonton, AB · Vancouver, BC · Toronto, ON · Montreal, QC · AB · Calgary, AB
…environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence…
Added 2 months ago
MI
Supervisor, Fund Accounting, Private Markets
MUFG Investor Services
Toronto, ON
- $82,500 to $121,000 CAD / year
- Full-time
The Junior Associate Director will play a pivotal role in overseeing the delivery of fund administration services to private market clients, with a particular focus on private equity…
Added 2 months ago
SW
Senior Associate, Private Banker, International Private Banking - Toronto, ON
Scotia Wealth Management
Toronto, ON
- Full-time
Complying with regulatory requirements as part of the service process, including Know Your Client
Added 2 months ago
RH
Senior Associate (Finance & Accounting)
Robert Half
Toronto, ON · NORTH YORK
- Full-time
As a Senior Associate, your responsibilities will include developing and growing a client base and new business opportunities, introducing our services via video, telephone and in-person…
Added 2 months ago
SI
Sales Associate - Key Holder
Smythe Inc
Toronto, ON
- Full-time
We are seeking a professional, sales-driven Key Holder Sales Associate to join our retail team. In this role, you are the essential link between our product and our clients - delivering an…
Added 2 months ago
PC
Associate Benefits Consultant
People Corporation
Toronto, ON · ON - PC Sheppard - Toronto
- Full-time
Develop annual client plans to ensure clients are receiving value added service and that the work being produced aligns with client goals and objectives
Added 2 months ago
LO
Full Time Mobile Veterinarian
Lap of Love
Remote, Canada
- Full-time
- Remote
Join MMVHS as an In-Home Associate Veterinarian in the Mississauga Area.
Added 2 months ago
LO
Full Time Mobile Veterinarian
Lap of Love
Remote, Canada
- Full-time
- Remote
Join MMVHS as an In-Home Associate Veterinarian in the North Greater Toronto Area (York Region).
Added 2 months ago
LO
Full Time Mobile Veterinarian
Lap of Love
Remote, Canada
- Full-time
- Remote
Join MMVHS as an In-Home Associate Veterinarian in the North Greater Toronto Area (York Region).
Added 2 months ago
LO
Full Time Mobile Veterinarian
Lap of Love
Remote, Canada
- Full-time
- Remote
Join MMVHS as an In-Home Associate Veterinarian in the North Greater Toronto Area (York Region).
Added 2 months ago
LO
Full Time Mobile Veterinarian
Lap of Love
Remote, Canada
- Full-time
- Remote
Join MMVHS as an In-Home Associate Veterinarian in the North Greater Toronto Area (York Region).
Added 2 months ago
CG
District Manager , Long Term Care
Compass Group Canada
Toronto, ON
- Full-time
Responsible for excellent client relationships and high level customer satisfaction that promotes, and supports account retention.
Added 4 months ago
OD
Labour & Employment Associate
Ogletree Deakins
Toronto, ON
- Full-time
Our Toronto office has an opportunity for a Labour & Employment Associate to join the firm’s dynamic, entrepreneurial practice, representing premier national and international employers.…
Added 2 months ago
MI
Senior Fund Accountant - Private Markets
MUFG Investor Services
Toronto, ON
- $72,000 to $105,600 CAD / year
- Full-time
…solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay,…
Added 2 months ago
MI
Supervisor, Fund Accounting, Private Markets
MUFG Investor Services
Vancouver, BC
- $82,500 to $121,000 CAD / year
- Full-time
The Junior Associate Director will play a pivotal role in overseeing the delivery of fund administration services to private market clients, with a particular focus on private equity…
Added 3 months ago
K
Associate, Tax Law M&A
KPMG
Calgary, AB
- Full-time
…closely with accountants and other professionals on complex client engagements across a broad range of legal and tax related practice…
Added 2 months ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Support client workshops, technical discussions, and stakeholder presentations related to AI strategy, solution design, and implementation.
Added 2 months ago
K
Associate Vice President, Corporate Finance
KPMG
Hamilton, ON · Kitchener, ON · Ottawa, ON · Toronto, ON · ON
- Full-time
As an experienced Associate Vice President, Corporate Finance, you will report to our Vice Presidents and Managing Directors. You are a self-starter who has an interest in mergers and…
Added 2 months ago
K
PR Lawyer, Canadian Immigration
KPMG
ON · Toronto, Ontario
- Full-time
KPMG’s Immigration Law practice is looking for an Immigration Associate (Permanent Residence), to join our Canadian Immigration Law group. You will be part of a busy, fast-paced and…
Added 2 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Support client workshops, technical discussions, and stakeholder presentations related to AI strategy, solution design, and implementation.

KPMG

Manager, ML/AI Engineer, Data & AI

UNAVAILABLE, Calgary, AB, Canada
UNAVAILABLE, Vancouver, BC, Canada
ON, Canada
UNAVAILABLE, Toronto, ON, M5H 2S5, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Jul 28, 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: Jul 28, 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.

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More about this job

Responsibilities

The role involves partnering with clients to design, build, and operationalize scalable AI and machine learning solutions. You will be responsible for developing end-to-end ML pipelines, implementing MLOps best practices, and collaborating with cross-functional teams to solve complex business problems.

Requirements

Candidates must have a university degree in a relevant field and at least 5 years of professional experience in machine learning or AI engineering. Proficiency in Python, cloud platforms, and experience with generative AI and MLOps are essential for this position.

Skills

Python
Machine Learning
Artificial Intelligence
Generative AI
MLOps
Azure
Google Cloud Platform
AWS
Data Engineering
Model Deployment
CI/CD
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Consulting
Stakeholder Management

Benefits

Comprehensive and competitive Total Rewards program
Bonus awards

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Python
Azure ML Studio
Databricks
MLFlow
TensorFlow
PyTorch
Scikit-learn
Vertex AI
AWS Sagemaker
Bedrock
MLOps
CI/CD
LLMs
RAG
Cloud Computing
Data Engineering
Model Governance
Explainability
Bias Detection
Spark
Consulting
Strategy
Production-ready
Distributed Processing
Feature Engineering
Statistics
Data Analysis

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