MastercardLead AI Engineer (AI & Data Strategy)
Mastercard is hiring a Lead AI Engineer (AI & Data Strategy) in Vancouver, Canada. It pays CAD 127k-CAD 203k a year and Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this AI engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks and AI evaluation among its tools and skills.
- Level classes it as a lead role.
- Mastercard has 948 other open roles on Level.
AI in this role
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
Lead AI Engineer (AI & Data Strategy)Who 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.
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Lead AI Engineer, you will:
• Lead collaboration with data scientists to understand the existing modeling pipeline and identify optimization opportunities.
• Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling.
• Design and develop data pipelines to automate repetitive tasks within data science and data engineering.
• Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems.
• Partner with software engineering teams to deploy and validate production artifacts.
• Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
• Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain.
• Comfortable leading projects in environments with undefined or loose requirements.
• Mentor junior AI engineers
All About You
• Good knowledge of Linux / Bash environment
• Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks
• Familiar with agile & agentic engineering best practices
• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
Nice to have:
• Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
• Data Engineering Experience
• Experience with Java
• Experience with Jenkins
• Experience in with data engineering on petabyte scale data
• Understands and implements methods to evaluate own work and others for error
• Loves working with error-prone, messy, disparate, unstructured dataMastercard 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.
Pay Ranges
Vancouver, Canada: $127,000 - $203,000 CADHow we rate this
Lead AI Engineer (AI & Data Strategy) at Mastercard rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $183k
Use the typical AI engineer figure as a reference when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Walk me through how you've used Databricks in your day-to-day work.
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- List these exact terms on your resume: AI Evaluation and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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