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Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- 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 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Strong programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular, Typescript etc.
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Strong software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular,…
Added 2 months ago
AW
Sr. Manager, Physical Design Engineering, Annapurna Labs
Amazon Web Services (AWS)
Toronto, ON
- Full-time
Experience with hierarchical methodologies for very large SoCs (>1B transistors). Expert scripting in TCL, Python, Perl.
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
This is a hands-on product engineering role. You will write production-quality, object-oriented Python and make pragmatic choices across relational databases, document databases, and object…
Added 2 months ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
- Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation
Added 2 months ago
R
AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
- Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation
Added 2 months ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 3 months ago
HP
Software Developer - Data and AI (12 month contract)
Hammond Power Solutions
Guelph, ON
- Full-time
…transformer technology. We currently have an opening for a Software Developer, Data and AI– 12 month contract, come grow with…
Added 5 months ago
S
Forward Deployment Engineer
SymphonyAI
UNAVAILABLE, Ontario
- Full-time
…guiding new clients through a smooth and successful integration with our SaaS platform and implementations on client premises. You will leverage your knowledge of modern development,…
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
Added 2 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Familiarity with Makefiles, scripting languages like perl, python, ruby etc.
Added 4 months ago
FH
Data Scientist
Fraser Health
Surrey, BC
- Full-time
…(CAADSI) team at the Central City office located in Surrey, B.C. with flexible work…
Added 2 months ago
GD
Cybersecurity Associate Specialist
General Dynamics Land Systems–Canada
London, ON
- Full-time
Strong with C, C++, C#, and Python programming languages
Added 2 months ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
…managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating…
Added 2 months ago
FL
Data Engineer (Databricks)
Fluent, LLC
Remote, Canada
- Full-time
- Remote
You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing engineering solutions, data modeling, and building architecture. You are familiar with the…
Added 2 months ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
Develop the SDKs, APIs, and data visualizations that internal users interface with, treating developer experience as a first-class product concern.
Added 2 months ago
KC
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
- $160,000 to $240,000 CAD / year
Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop…
Added 2 months ago
RB
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
R
Lead AI/ML Engineer
RBC
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
X
AI Developer – Agentic System
Xanadu
Toronto, ON
- Full-time
As an AI Developer at Xanadu, you will play a crucial role in integrating generative AI into our R&D methodologies. This unique position allows you to contribute to the development of our…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
Partner with AI Platform & Fabrics to ensure platform capabilities (Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, Observability) realize the target architecture, and with…
Added 4 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
MT
Technical Staff Engineer–Applications
Microchip Technology Inc.
Toronto, ON · Montreal, QC · Burnaby, BC · Canada - Burnaby
- Full-time
…about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology…

KPMG

Senior Consultant, 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: 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: 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.
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.

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More about this job

Responsibilities

The Senior Consultant will design, build, and operationalize scalable AI and machine learning solutions to address complex business problems. They will also implement MLOps best practices, including model monitoring, CI/CD pipelines, and governance to ensure production-ready AI systems.

Requirements

Candidates must have at least 3 years of professional experience in machine learning or AI engineering with proficiency in Python and cloud platforms. A university degree in computer science, engineering, or a related quantitative field is required.

Skills

Python
Machine Learning
Artificial Intelligence
Generative AI
MLOps
Azure
Google Cloud Platform
AWS
Data Engineering
Model Deployment
CI/CD
Prompt Engineering
RAG
Consulting
Statistics
Data Analysis

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
MLOps
Azure ML Studio
Databricks
TensorFlow
PyTorch
Scikit-learn
GCP Vertex AI
AWS Sagemaker
Bedrock
CI/CD
LLMs
RAG
Prompt Engineering
Data Engineering
Spark
Model Governance
Consulting
Cloud Computing
Predictive Modeling
Anomaly Detection
Forecasting
Classification
Feature Engineering
Drift Detection
Responsible AI
Data Science

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