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Added 6 days ago
BF
(Junior) Data Engineer (12-Month Contract)
BC Financial Services Authority
Vancouver, BC
- $56,294 to $107,310 CAD / year
- Contract
Develop and maintain SQL, Python, and other data transformation logic to ingest, cleanse, standardize, validate, reconcile, and prepare data for downstream consumption.
Added 6 days ago
N
Software Developer
neurohire.ai
Remote, Canada
- $70,000 to $90,000 CAD / year
- Full-time
- Remote
NeuroHire is looking for a motivated and talented Software Developer to join our team. In this role, you will contribute to developing, testing, and maintaining software applications while…
Added 6 days ago
BI Developer
Sunwing Vacations Group
Toronto, ON
Strong SQL skills and hands-on experience with Snowflake.
Added 6 days ago
W
Data Developer III
Walmart
Mississauga, ON
- Full-time
Advanced SQL skills using SQL Server, Teradata, or Oracle with no less than 3+ years of experience in this area
Added 6 days ago
AC
Analyste De La Chaîne D'Approvisionnement | Supply Chain Analyst
Aston Carter
Longueuil, QC
- $42 to $48 CAD / hour
- Contract
Partner closely with Commodity Managers and Category Managers to support strategic sourcing initiatives and special projects.
Added 6 days ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer (Python/Pyspark Developer)
Added 6 days ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
4+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a customer-facing, Forward Deployed Engineer (FDE)-style…
Added 6 days ago
AD
Researcher - Product Innovation, Global R&D
ArcelorMittal Dofasco
Hamilton, ON
- Full-time
…leadership, clear expectations, and continuous improvement, with all team members expected to actively identify hazards and take action to prevent harm. Joining ArcelorMittal Dofasco means…
Added 6 days ago
JG
Data AI Engineer
J&M Group
Markham, ON
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 6 days ago
T
Manager, Engineering
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 days ago
Safe Mobility Analyst
City of Edmonton
AB
Familiarity with use of relational databases and use of scripting languages (SQL, python)
Added 6 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience using common data and machine-learning libraries and working in Databricks or a comparable cloud analytics platform.
Added 6 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 6 days ago
X
Senior Accountant
Xanadu
Toronto, ON
- Full-time
In this role, you will combine strong technical accounting expertise with a focus on operational excellence, ensuring that revenue, inventory, and capital investments are accurately…
Added 6 days ago
K
Software Engineer
Kelly
Mississauga, ON
- Contract
Role Overview: Senior Forward Deployed Engineer with strong Java and Python expertise to build and deploy production-grade solutions for Fintech clients in the Spread Products domain. This…
Added 6 days ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
Role: Python Developer -Forward Deployed, Pyspark
Added 6 days ago
AG
Senior Analyst, Marketing Science
Adelphi Group
Toronto, ON
- Full-time
You can build and run a linear regression model in Excel or Python and are able to explain things such as R square, P-value, or regression coefficients to an audience that has no background…
Added 6 days ago
T
Data Integration Engineer
TekRek
Canada
- Contract
Hands-on SQL, plus experience working with APIs, reading logs, and promoting changes through structured test and release environments. Dremio experience is a plus.
Added 6 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 6 days ago
JG
Technical Architect / Senior Developer – RPA & Automation
J&M Group
Toronto, ON
- Full-time
We are seeking a Technical Architect / Senior Developer RPA & Automation to design, develop, maintain, and enhance enterprise automation solutions. The role will focus on UiPath, Microsoft…
Added 6 days ago
FC
Actuarial Associate - Pricing
First Canadian Financial Group
Sherwood Park, AB
- Full-time
Advanced proficiency in Excel and at least one analytical or programming language such as SQL, R, Python, SAS, or VBA
Added 6 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…
Added 6 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…
Added 6 days ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

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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