Jobs in Canada

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Added 27 days ago
F
Senior Software QA Specialist – FortiGate Cloud
Fortinet
Burnaby, BC
- Full-time
…devices, and data everywhere. We are currently seeking a dynamic Senior Software QA Specialist to contribute to the success of our rapidly growing…
Added 27 days ago
R
Associate Director, Market Risk Stress Testing
RBC
Toronto, ON
- Full-time
Detailed knowledge of MS Excel, SQL, and Python
Added 27 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
LI
Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
The ideal candidate must have experience in building end-to-end data pipelines in GCP
Added 27 days ago
TI
Senior Data Developer
TS Imagine
Montreal, QC
- Full-time
Applicants must be based in Montreal and able to communicate in French
Added 27 days ago
SE
Senior AI Data Engineering Specialist
Schneider Electric
Montreal, QC
- $114,750 to $162,000 CAD / year
- Full-time
Proficiency in building reliable data pipelines using Python, SQL, or comparable technologies.
Added 27 days ago
A
1815 - Application Developer III
Amyantek
Toronto, ON
- Contract
Working Status: Hybrid, onsite 2 days per week (3 days optional)
Added 27 days ago
M(
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- $131,000 to $230,000 CAD / year
- Full-time
- Remote
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 27 days ago
M(
Principal Full-Stack Developer - Core
MaintainX (An Autodesk Company)
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
Mentor senior and staff engineers, and set the standard for code review on your team.
Added 27 days ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python, PySpark, SQL, and distributed data processing.
Added 27 days ago
M
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX
Montreal, QC
- $131,000 to $230,000 CAD / year
- Full-time
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 27 days ago
M
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX
Toronto, ON
- $131,000 to $230,000 CAD / year
- Full-time
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 27 days ago
XC
Senior Developer Engineer/Leader - Montreal
Xcelerated Consulting Group, LLC.
Montreal, QC
- Contract
As a Senior Developer, you will serve as a technical leader and subject matter expert in the Regulatory Reporting framework. This in-house application ensures the firm meets its global…
Added 27 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Work hands-on with Python, SQL, Spark, Hadoop, and Databricks to develop scalable data-processing pipelines, reusable analytical datasets, model features, and production-ready solutions.
Added 27 days ago
BC
Analyst, Global Markets Client Analytics
BMO Capital Markets
Toronto, ON
- Full-time
…client-level reporting, analytics, and business insights to senior executives, front-line relationship managers, and product managers, with the objective of assisting them to make proactive…
Added 27 days ago
BC
Analyst, Investment & Corporate Banking Client Analytics
BMO Capital Markets
Toronto, ON
- Full-time
…client-level reporting, analytics, and business insights to senior executives, front-line relationship managers, and product managers, with the objective of assisting them to make proactive…
Added 27 days ago
P
Senior Software Engineer
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
In-depth knowledge of relational databases (e.g. Microsoft SQL Server, MySQL)
Added 27 days ago
C
Senior Associate, Capital Markets & Corporate Treasury
Clearco
Toronto, ON
- Full-time
Experience working with large loan-level datasets; SQL or Python is an asset
Added 27 days ago
MR
Data Analyst IV
Motion Recruitment
Toronto, ON
- Contract
A leading Canadian financial institution is hiring a Senior Data Analyst / Product Owner for a hybrid, long-term contract role in Toronto, ON. The work is mostly Power BI, SQL, Python and…
Added 27 days ago
H
Application Developer
Hays
ON · Ontario, Canada
- $70 to $75 CAD / hour
- Contract
Develop, deploy, and support applications and APIs using C#, .NET Core, Python, and SQL.
Added 27 days ago
D
Business Analyst
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
The role requires strong analytical and technical documentation skills, practical knowledge of Python and SQL, and familiarity with Agile methodologies and project management practices.…
Added 27 days ago
R
Senior Software Engineer – Cloud & Data Platforms
Raise
Toronto, ON
- Contract
Work Arrangement: Hybrid, onsite 2 days per week (3 days optional)
Added 27 days ago
M
Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
We are seeking a hands-on AI Engineer / Generative AI Developer to design, develop, test, and deploy enterprise AI applications on Google Cloud Platform (GCP). The ideal candidate will have…
Added 27 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…

Mastercard

Senior AI Engineer, Big Data & AI Solutions

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Oct 15, 2026

Original job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title And Summary

Senior AI Engineer, Big Data & AI Solutions

Overview

The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard's Safety Net product, the team creates and enhances models that analyze billions of transactions and identify suspicious activity in real time.

As a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, helping improve the models, data assets, and operational processes that power fraud detection. You will collaborate closely with Data Scientists and Engineers to strengthen feature engineering, advance model monitoring capabilities, and deliver AI-driven solutions that improve performance and efficiency. 

Role

As a Senior AI Engineer, You Will

Support machine learning models that help detect cyber-attacks, fraud and improve decision intelligence.
Create data pipelines and feature engineering workflows that enable model development and evaluation.
Process and analyze large-scale datasets to uncover insights and improve model inputs.
Strengthen monitoring, observability, and drift detection capabilities across production environments.
Apply automation and MLOps practices to improve reliability, efficiency, and scalability.
Develop AI-powered solutions that address engineering challenges and streamline operational processes.
Partner with Data Scientists, Engineers, and Product teams to bring new capabilities into production.
Contribute ideas that improve model performance, operational visibility, and team productivity.

Required Qualifications

Master’s degree with 2+ years of relevant experience, or Bachelor’s degree with 5+ years of relevant experience, in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; equivalent practical experience will also be considered.
Proficiency in Python, PySpark, SQL, and distributed data processing.
Hands-on experience with feature engineering, large-scale data processing, and analytics.
Hands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies
Understanding of machine learning and deep learning techniques.
Understanding of model deployment, evaluation, monitoring, and optimization.
Knowledge of MLOps concepts including testing, automation, CI/CD, and version control.
Ability to communicate technical concepts and collaborate across teams.

Preferred Qualifications

Fraud, cybersecurity, payments, or risk management domains.
Experience with Generative AI, LLMs, RAG, or agentic AI applications.
Familiar with AI-assisted development tools such as GitHub Copilot, or Claude Code.
Experience working with cloud-based data and AI environments.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 11/12/2026.

Pay Ranges

O'Fallon, Missouri: $115,000 - $184,000 USD

Apply on LinkedIn About employer

More about this job

Responsibilities

Build and improve data pipelines, feature engineering workflows, and AI/ML capabilities that support real-time fraud and cyber-threat detection. Strengthen production monitoring, observability, drift detection, and MLOps practices while collaborating with data science, engineering, and product teams to deliver scalable solutions.

Requirements

Requires a relevant master's degree with at least 2 years of experience or a bachelor's degree with at least 5 years, or equivalent practical experience. Candidates should have proficiency in Python, PySpark, SQL, and distributed data processing, along with experience in feature engineering, big data platforms, machine learning, model operations, and cloud technologies.

Skills

Python
PySpark
SQL
Distributed Data Processing
Feature Engineering
Large-Scale Data Processing
Databricks
Airflow
Hadoop
Linux/Unix
Cloud-Native Technologies
Machine Learning
Deep Learning
Model Deployment and Monitoring
MLOps
Generative AI and LLMs

Benefits

Medical Insurance
Prescription Drug Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Life Insurance
Flexible Spending Account
Health Savings Account
Paid Parental Leave
Bereavement Leave
Paid Sick and Safe Time
Vacation Time
Personal Days
Paid Holidays
401(k) With Company Match
Deferred Compensation
Fitness Reimbursement or On-Site Fitness Facilities
Tuition Reimbursement

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Deep Learning
Fraud Detection
Cybersecurity
Payments
Python
PySpark
SQL
Distributed Data Processing
Feature Engineering
Databricks
Airflow
Hadoop
Linux/Unix
Cloud-Native Technologies
MLOps
CI/CD
Version Control
Model Deployment
Model Evaluation
Model Monitoring
Drift Detection
Automation
Big Data
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Safety Net

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Work requirements

Jobs in Canada