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Added 45 mins ago
SE
ICRH Engineer
Stellarex Energy
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Stellarex Energy is seeking an experienced, technically rigorous ICRH Engineer to drive the engineering design, hardware procurement, and system integration of the Ion Cyclotron Resonance…
Added 1 hour ago
AT
Production Support Engineer
Aarorn Technologies Inc
Toronto, ON
- $55 CAD / hour
- Contract
We are looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 2 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 3 hours ago
EA
AME Support (YUL)
Execaire Aviation
Dorval, QC
- Full-time
…operational readiness of our aircraft. As an Aircraft Maintenance Engineer (AME) Support, you will combine hands-on line maintenance and certification authority with delegated maintenance…
Added 3 hours ago
A
Test/Lab Engineer
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
Our client in the automotive industry, is looking to hire a Test/Lab Engineer.
Added 3 hours ago
S
Intermediate Electrical Designer/Engineer
SCIEX
Vaughan, ON
- $90,000 to $103,000 CAD / year
- Full-time
The Intermediate Electrical Designer/Engineer is responsible for designing electrical hardware based on input requirements and support implementation and system integration activities while…
Added 3 hours ago
S
Senior Electrical Engineer/Designer
SCIEX
Vaughan, ON
- $111,333 to $122,500 CAD / year
- Full-time
The Senior Electrical Engineer/Designer is responsible for leading the end-to-end development of analog and high-voltage power-supply modules and subsystems for SCIEX instruments, from…
Added 4 hours ago
A
Senior Electrical Engineer, Data Centers
AECOM
Markham, ON
- $125,000 to $175,000 CAD / year
- Full-time
AECOM is seeking a Senior Electrical Engineer to join our growing Canadian Data Center team.
Added 4 hours ago
A
Electrical Engineering Lead, Data Centers
AECOM
Markham, ON
- $145,000 to $195,000 CAD / year
- Full-time
Lead medium-voltage and low-voltage power distribution system design.
Added 4 hours ago
A
Electrical Engineer, Data Centers
AECOM
Markham, ON
- $90,000 to $140,000 CAD / year
- Full-time
AECOM is seeking an Electrical Engineer to join our growing Canadian Data Center practice. This role will support the design and delivery of hyperscale, colocation, and other…
Added 4 hours ago
L
Legal Engineer - In-House
Legora
Toronto, ON
- Full-time
Delivering clear, confident product demos and training that bring the power of our platform to life - whether you're presenting to a GC, rolling out to regional teams, or training legal ops…
Added 4 hours ago
L
Legal Engineer
Legora
Toronto, ON
- Full-time
Delivering clear, confident product demos and training that bring the power of our platform to life.
Added 5 hours ago
Q
Machine Learning Framework, Complier & Performance Engineer
Qualcomm
Canada
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 5 hours ago
IC
Senior Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…enabling developers to write highly efficient kernels that power modern machine learning frameworks and high-performance computing…
Added 5 hours ago
IC
Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…enabling developers to write highly efficient GPU kernels that power modern machine learning…
Added 5 hours ago
C
Principal Engineer - Android
COSMO
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
Role Summary: We are looking for a Principal Engineer to set the technical direction for our Android platform and raise the engineering bar across the organization. As the most senior…
Added 5 hours ago
S
Software Engineer, Back-End - Mail (Canada)
Superhuman
Remote, Canada
- $150,000 to $192,000 USD / year
- Full-time
- Remote
…the Mail team, our Back-End engineers build the systems that power calendar, scheduling, and AI-driven workflows, from the real-time infrastructure behind Superhuman Mail to the services…
Added 6 hours ago
A
Senior Software Development Engineer in Test (Kubernetes)
Akamai
Canada
- $102,500 to $184,500 CAD / year
As a Senior Software Development Engineer in Test, you will be responsible for:
Added 6 hours ago
W
Senior Electrical Engineer
Worley
Vancouver, BC
- Full-time
Registration as a Professional Engineer (P.Eng) with APEGA, or eligibility to obtain registration.
Added 6 hours ago
S
HR Representative
SLB
Calgary, AB
- Full-time
…reviews, Schlumberger Eureka Technical Careers, General Field Engineer controls, identifying high-value employees and performance…
Added 6 hours ago
NS
4th Class Power Engineer - Maintenance and Operations
Nova Scotia Health Authority
Waterford
- Internship
In special circumstances where approved. This position may be required to temporarily perform duties of a position with a higher-class Power engineer license to ensure coverage.
Added 6 hours ago
C
Software Developer
Cisco
Ottawa, ON · Kanata, Ontario
- Full-time
We are seeking a highly skilled Software Engineer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will architect and lead…
Added 7 hours ago
IH
Power Engineer | Maintenance Supervisor
Interior Health Authority
Summerland, BC
- Full-time
Power Engineer | Maintenance Supervisor - Join Our Team in Summerland, B.C.!
Added 7 hours ago
B
AI Process re-engineer, Capital Markets Product Control
BMO
Toronto, ON · FCP
- Full-time
Ability to use AI tools to prepare data to generate efficiencies (GitHub Co-pilot, Power Automate, Finance for Excel)
Added 7 hours ago
LD
Electrical Engineering Manager
Leonardo DRS
Bedford, NS
- Full-time
This is a hands-on technical supervisory role for leading a team of hardware designers working on power electronics design activities in support of multiple projects. Reporting to the Naval…

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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