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Added 2 mins ago
HT
BI Platform Operations Engineer
Hirematic Talent Solutions
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Job Title: Senior BI Platform Operations Engineer
Added 32 mins ago
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Senior Azure Platform Engineer
TEEMA
Richmond, BC
- $130,000 to $145,000 CAD / year
- Full-time
On behalf of our client, TEEMA is recruiting for a Senior Azure Platform Engineer. This is a Permanent Opportunity and candidates must be comfortable working a hybrid model in Richmond, BC.
Added 1 hour ago
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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 1 hour ago
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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 1 hour ago
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Customer Experience Engineer / M365
Microsoft
Toronto, ON
- Full-time
…improvements. You will work with M365 Product Management & software engineering teams to provide direct and specific feedback from your customer on defects, issues and requested design…
Added 2 hours ago
PM
Lead Software Engineer – Application Security & Architecture
Prospect Markets
Vancouver, BC
- Full-time
Prospect Markets is hiring a senior engineer to lead technology initiatives across our platform. You'll bring deep application security and software architecture expertise to a team…
Added 3 hours ago
S
Platform Solution Architect /Architecte de solutions de plateforme (Montreal)
Slalom
Montreal, QC
- Full-time
We’re looking for a Senior Platform Engineer to join a North America-based team focused on delivering secure, scalable automation and cloud platforms. This role is about enabling teams to…
Added 3 hours ago
VM
Sr Full Stack Engineer
Vivid Machines
Toronto, ON
- Full-time
As a Senior Full Stack Developer, you will own the software that sits between our cameras in the field and the people who rely on them: the applications our team and customers use to run…
Added 4 hours ago
PC
Cloud Infrastructure Engineer, Senior Associate
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
Implement and enforce security best practices in cloud environments, including access management, data protection, and compliance with industry standards and regulations.
Added 5 hours ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 5 hours 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 5 hours ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
Certified Software Test Architect / ISTQB Advanced Level (Test Automation Engineer / Technical Test Analyst).
Added 5 hours ago
RD
Senior DevOps Engineer (Azure Infrastructure & Platform)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are hiring a Senior DevOps Engineer to join a fast-growing, CDIC-insured, federally regulated Canadian digital bank undergoing an active technology transformation.
Added 5 hours ago
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Red Team Engineer AND Senior Penetration Tester
Zoho
Toronto, ON
- Contract
We are seeking an experienced Senior Penetration Tester / Red Team Engineer to conduct advanced offensive security assessments across applications, networks, infrastructure, cloud, APIs,…
Added 5 hours ago
D
Senior SDET / Quality Engineering Lead/Architect
Droisys
Brampton, ON
- Contract
We are seeking a Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect to join our team. The ideal candidate will have strong experience in architecting…
Added 5 hours ago
FC
Senior DevSecOps Engineer
Fintel Connect
Vancouver, BC
- Full-time
As a Senior DevSecOps Engineer, you will lead the implementation and continuous improvement of cloud security, infrastructure automation, platform reliability, and DevSecOps practices…
Added 5 hours ago
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Software Engineer - II
Mastercard
Vancouver, BC
- Full-time
We are looking for a Software Developer to join our DMP team in Vancouver office.
Added 5 hours ago
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Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Senior AI Engineer, Big Data & AI SolutionsWho is Mastercard?
Added 6 hours ago
K
Javascript Developer
Kelly
Toronto, ON
- Contract
Job Title: Senior React / JavaScript Developer
Added 6 hours ago
K
Software Engineer in Test
Kelly
Mississauga, ON
- Contract
Job Title: Senior SDET / Quality Engineering Architect
Added 6 hours ago
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Database Administrator
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
…migration prerequisites, replication, target VM sizing, network/security settings, and backup/Defender…
Added 6 hours ago
PC
Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect
Pyramid Consulting, Inc
Mississauga, ON
- $70 to $79 CAD / hour
- Contract
Immediate need for a talented Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect. This is a 06+months contract opportunity with long-term potential and is…
Added 6 hours ago
RD
Cloud Engineer (Azure & IaC)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…greenfield Microsoft Landing Zone architecture, zero-trust security implementation, and the migration of 20+ core enterprise applications to Microsoft Azure, is seeking a hands-on,…
Added 6 hours 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 hours ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…

Mastercard

Senior AI Engineer, Big Data & AI Solutions

Vancouver, BC, Canada

Full-time

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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

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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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