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Added 12 mins ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer (Python/Pyspark Developer)
Added 12 mins ago
JH
Event and Conference Services Manager - Hotel (relocation to Victoria, BC)
JRoss Hospitality Recruiters
BC · British Columbia, Canada
- Full-time
Continuously strengthen service standards, selling techniques and product knowledge to elevate the client experience.
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CNC Machine Operator - Precision Equipment
CyberCoders
Chatham, NB
- $30 to $32 CAD / hour
- Contract
Use precision measuring instruments to verify product quality
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A(
Machine Learning Educator
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
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Electrical / Hardware Engineer
Actalent
Montreal, QC
- $35 to $45 CAD / hour
- Contract
Support production transfer activities and future product development initiatives.
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EI
UX Designer
ExcelGens, Inc.
Bas-Saint-Laurent, QC
- Contract
Develop design concepts, prototypes, and solutions for validation with Product Managers, Program Managers, senior designers, and other stakeholders.
Added 12 mins ago
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Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
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IS
Business Analyst
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience working with business Product Owner and act as liaison between business and IT delivery team.
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Assistant Route Service Sales Representative (4-Day Workweek)
Cintas Canada
Abbotsford, BC
- Full-time
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Production Clerk
Sobeys
Delta, BC
- Full-time
…handles, prepares, boxes, and labels fruits, vegetables, baking product ensuring safety, quality, and cost effectiveness. The Low Production Clerk handles, prepares, boxes, and labels beef,…
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Retail Operations Manager
PetSmart
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- Full-time
Support and guide sales associates in merchandise handling, providing training on product knowledge and presentation standards.
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Sr. Materials Innovation Manager – Advanced Concepts
Arc'teryx Equipment
North Vancouver, BC
- Full-time
…methodology, mindset of sustainability and fanatic passion for product are at the heart of what we do.If you were in the Sr. Materials Innovation Manager – Advanced Concepts role now, here…
Added 12 mins ago
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Program Manager
Top Tier Talent Group
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- Full-time
Track customer performance metrics and work with cross-functional teams to resolve issues in quality, scrap, efficiency, cost, delivery, and overall product integrity
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Assistant Store Manager
RONA
Montreal, QC · Pierrefonds, QC
- Full-time
We operate or service corporate and affiliated dealer stores. With a distinctive product and service offering and complementary store formats ranging from neighbourhood hardware stores to…
Added 12 mins ago
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Store Manager - Apparel
JRoss Retail Recruiters
Kamloops, BC
- $47,000 to $53,000 CAD / year
- Full-time
Inventory Management: Support inventory accuracy, product availability, replenishment, and loss prevention initiatives.
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Department Manager, Member Experience
MEC
North Vancouver, BC
- $48,100 to $60,200 CAD / year
- Full-time
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WLAV Supply Management Planner
General Dynamics Land Systems–Canada
Ottawa, ON
- Full-time
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Paid Social Manager
Publicis Media
Toronto, ON
- Full-time
Continually looks for opportunities to improve the group/process/product
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Analyst or Consultant, Government and Public Sector Solutions
Deloitte
Ottawa, ON
- Full-time
Experience with digital product delivery and emerging technologies (e.g., intelligent automation, AI & machine learning, cloud).
Added 12 mins ago
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Researcher - Product Innovation, Global R&D
ArcelorMittal Dofasco
Hamilton, ON
- Full-time
ArcelorMittal Dofasco is Hamilton's largest private sector employer. Our iconic tagline "Our Product is Steel. Our Strength is People." is a true expression of our belief that our people…
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Department Manager, Operations Support
MEC
Kitchener, ON
- $48,100 to $60,200 CAD / year
- Full-time
What sets MEC apart is our deep expertise, thoughtful product curation, and strong community connection, all focused on serving our members. Our teams bring lived outdoor experience and…
Added 12 mins ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
AWS / GCP Cloud Architecture or Developer Certifications.
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Retail Operations Lead
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- Full-time
Support and guide sales associates in merchandise handling, providing training on product knowledge and presentation standards.
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Senior Manager, Food Innovation Technology
KFC
Vaughan, ON
- Full-time
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Outside Sales Rep - ICI Division (Calgary)
RONA
Calgary, AB
- Full-time
We operate or service corporate and affiliated dealer stores. With a distinctive product and service offering and complementary store formats ranging from neighbourhood hardware stores to…

Mastercard

Senior AI Engineer, Big Data & AI Solutions

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 27, 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 SolutionsWho is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

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 relevant experience, or Bachelor’s degree 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 Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.

Pay Ranges

Vancouver, Canada: $111,000 - $160,000 CAD

Apply About employer

More about this job

Responsibilities

The Senior AI Engineer will develop and support machine learning models and data pipelines to detect fraud and cyber threats in real-time. They will collaborate with cross-functional teams to implement MLOps practices and enhance model monitoring and performance.

Requirements

Candidates must hold a Bachelor's or Master's degree in a technical field and possess proficiency in Python, PySpark, and SQL. Experience with large-scale data processing, cloud-native technologies, and MLOps concepts is required.

Skills

Python
PySpark
SQL
Distributed data processing
Feature engineering
Databricks
Airflow
Hadoop
Linux/Unix
Cloud-native technologies
Machine learning
Deep learning
Model deployment
MLOps
CI/CD
Version control

Benefits

Discretionary annual incentive program

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Big Data
Fraud Detection
Cybersecurity
Machine Learning
Python
PySpark
SQL
Databricks
Airflow
Hadoop
Linux
Unix
Cloud-native
Deep Learning
MLOps
CI/CD
Version Control
Generative AI
LLMs
RAG
Agentic AI
GitHub Copilot
Claude Code
Data Pipelines
Feature Engineering
Model Monitoring
Payments
Risk Management
Automation

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