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Added 9 mins ago
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EN- CALL FOR APPLICATIONS FOR A STRATEGIC PARTNERSHIP US - CANADA
Nkinda
ON · Ontario, Canada
- Contract
TalaSync Chat: 137 business AI experts, at Senior/Director level, capable of collaborating in "Deep Think" mode to produce actionable strategic recommendations.
Added 9 mins ago
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Systems Analyst - Senior (Peoplesoft HCM exp)
Bevertec
Toronto, ON
- Contract
Job Role: Systems Analyst - Senior (Peoplesoft HCM exp)
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Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
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Added 9 mins ago
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UX Designer
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Bas-Saint-Laurent, QC
- Contract
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Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
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- 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…
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Senior Software Development Engineer in Test (SDET)
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- Full-time
Bachelor’s degree in computer science, Software Engineering, Information Technology, or equivalent practical experience.
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Senior Product Manager - SOTI Connect
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Mississauga, ON
- $120,000 to $140,000 CAD / year
- Full-time
…most importantly, be part of a winning team. As the successful Senior Product Manager, you will be responsible for taking ownership of the product line life cycle from strategic planning to…
Added 9 mins ago
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Generative AI Developer
Millennium Software and Staffing Inc
Toronto, ON
- Contract
We are looking for Generative AI Developer in Toronto Canada for our client.
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Senior Business Analyst - Enterprise Data Management Office (EDMO)
TD
Toronto, ON
- Full-time
This role provides senior-level business analysis and delivery leadership within the Enterprise Data Management Office (EDMO), supporting enterprise metadata, data governance, data quality,…
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Senior Product Manager, Product Security
Litmus
Toronto, ON
- Full-time
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection…
Added 24 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Missions System International
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
We have a new opportunity for a Senior Human Factors Engineering Analyst to join our Ottawa team. Working with HFE and UX practitioners, engineers, customers, and end users, you will serve…
Added 39 mins ago
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Senior Manager, Technology Procurement
Deloitte
Toronto, ON
- Full-time
Deloitte Global is looking for a Senior Manager of Technology Procurement that leads global category strategy development, sourcing, negotiations and contracting within a group of…
Added 39 mins ago
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Quality Systems Specialist
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- Full-time
This position reports to the Senior Manager, QMS, and is part of the Quality Assurance & Regulatory Affairs Team located in Concord, Ontario and will be an on-site role.
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Computer Vision Engineer
Aptino, Inc.
Canada
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Guide technical teams, communicate findings, and present recommendations to senior stakeholders.
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Lead Quality Assurance Developer
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- Full-time
We are seeking an experienced Senior Quality Assurance Developer who shares our passion for developing and maintaining the Enterprise Capture product line. OpenText’s Capture solutions are…
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The OpenText Portfolio product category is committed to protecting the investment our clients have in legacy OpenText software. Our product category spans a broad range of products and…
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Senior SDET / Quality Engineering Lead/Architect
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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 39 mins ago
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VP, Go-To-Market
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…connections facilitated every year, raisin isn't just another software vendor: they're a genuine partner in…
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Automation Controls Sr. Analyst /Consultant
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Calgary, AB · Vancouver, BC · Mississauga, ON · Ottawa, ON · Toronto, ON
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Added 39 mins ago
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Renewal Specialist, Small Law
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
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…and strong relationship building skills. In this role, the Senior Sales Support Specialist will work with both English and French speaking clients and colleagues, so we are seeking a…
Added 39 mins ago
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Create development plans and growth paths for every team member, including senior individual contributors
Added 54 mins ago
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Senior DevSecOps Engineer
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As a Senior DevSecOps Engineer, you will lead the implementation and continuous improvement of cloud security, infrastructure automation, platform reliability, and DevSecOps practices…
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Senior Manager PA and DPM - 12 Months Contract- Express Scripts Canada
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Added 54 mins ago
Scrum Master
Aviva
Markham, ON
Demonstrated experience as a Scrum Master supporting software or technology delivery teams in a complex organization.
Added 54 mins 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.

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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