Jobs in Canada

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Added 14 hours ago
HT
Researcher – AI Security
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
- On-site
Partner with malware analysts and security stakeholders to define problem scope, labeling strategy, and evaluation methodology.
Added 14 hours ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
- On-site
3+ years relevant research or industry experience (including graduate research), with strong Python (Typescript / Kotlin, C++/Java a plus) and collaboration skills across teams
Added 14 hours ago
AW
Principal, S2 Workforce Strategy and Intelligence Lead
Arctic Wolf Networks, Inc.
Waterloo, ON
- Full-time
The successful candidate will provide executive leadership with a transparent, defensible view of workforce productivity, cost-to-serve, operational efficiency, and return on investment,…
Added 14 hours ago
AM
Diagnostics Software/Hardware Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Platform HW/SW Proficiency: Strong programming background in C/C++ and Python, with a concrete understanding of bare-metal or driver-level programming, registers, firmware interactions, and…
Added 14 hours ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
…methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in…
Added 14 hours ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
- Full-time
…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…
Added 14 hours ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Toronto, ON · Vancouver, BC
- Full-time
…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…
Added 14 hours ago
H
Staff Engineer, Applied AI
Headstart
Toronto, ON
- $265,000 USD / year
- Full-time
- Hybrid
…transparent, weekends are yours, and we don't confuse long hours with good…
Added 14 hours ago
D
Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. Strong…
Added 14 hours ago
D
Senior AI Engineer, Legal - Canada Remote
Danaher
London, ON
- Full-time
Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. Strong…
Added 14 hours ago
Lead Security Analyst - SOAR
Open Text Corporation
Waterloo, ON
…member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of…
Added 14 hours ago
C
DevOps Engineer (ML Infrastructure)
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
…supporting high-volume production workloads. You will work closely with software engineers, platform teams, and infrastructure specialists to deliver highly available services, improve…
Added 14 hours ago
P
Site Reliability Consultant
Pythian
Ottawa, ON · BC · Calgary, AB · Edmonton, AB · Saskatoon, SK · Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and…
Added 14 hours ago
Développeur(se), Solutions GenAI Developer, GenAI Solutions
syntax
Montréal, QC
…informatique / génie informatique, 7+ ans d’expérience, dont 5+ ans en…
Added 14 hours ago
TC
Team Lead, Data Engineering - Databricks
The Citco Group Limited
Toronto, ON
- Full-time
- Hybrid
Drive the Agile/Scrum SDLC process and collaborate with team members
Added 14 hours ago
S
Applied AI Lead - Calgary
Sia
Calgary, AB
- Full-time
- On-site
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 14 hours ago
C
Senior Backend Developer
Clir
Vancouver, BC
- Full-time
- Hybrid
Interested in or have experience in building AI-powered features and products, with a strong interest in applying AI to improve developer workflows and platform capabilities
Added 14 hours ago
GF
Senior Backend Engineer, .NET & Python
Global Fleet Management
Burnaby, BC
- $145,000 CAD / year
- Full-time
- On-site
Production experience with Python -- FastAPI or Flask, async task processing, data manipulation (Pandas, Dask)
Added 15 hours ago
PA
Toronto Technology Audit & Advisory (Financial Services) Senior Consultant
Protiviti, A Div of RH Canada
Toronto, ON
- Full-time
…deepen your abilities to communicate, gain trust, and network with client personnel and professional associates. At the direction of Managers, you may accept responsibility for…
Added 15 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 15 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 15 hours ago
FI
Software Developer
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
Strong expertise with advanced Python skills for developing and supporting production-grade APIs, services, and applications.
Added 15 hours ago
FI
Software Developer, AI Engineering & SDLC Transformation
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
This role goes well beyond AI-assisted coding. The individual will combine strong software engineering fundamentals with hands-on knowledge of modern AI and agentic technologies. They will…
Added 15 hours ago
AG
Principal Data Engineer
Altus Group Limited/Groupe Altus Limitée
Toronto, ON
- Full-time
The engineering expertise. You have strong programming skills in Python, SQL, and Spark, along with practical experience using Databricks. You understand how to design reliable, reusable,…
Added 15 hours ago
AG
Senior Data Engineer
Altus Group Limited/Groupe Altus Limitée
Toronto, ON
- Full-time
The technical foundation. You have strong programming skills in Python, SQL, and Spark, along with a solid understanding of distributed data processing. You can apply these tools to build,…

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON, Canada
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: 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