Lead Machine Learning Engineer, Mastercard
Python
Office located in Stratford, London
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
Office located in Stratford, London
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- Bachelor’s degree in computer science, Software Engineering, or a related field
- 6+ years of experience in Software Engineering with exposure to Data Engineering or Data Science
- Strong proficiency in programming languages (e.g. Python, Java, or Scala) and frameworks (e.g. Pandas, Spring boot)
- Familiarity to MLOPs (model training, serving and monitoring), Neural Networks and LLMs
- Understands internals of operating systems (Windows, Linux) to write interoperable and performant code
- Able to perform debugging and troubleshooting to analyze core, heap, thread dumps and remove coding errors
- Understands and implements standard branching (e.g., Gitflow), peer reviews and CI/CD practices (e.g. Jenkins)
- Has skills in test driven and behavior driven development (TDD and BDD) to build just enough code and collaborate on the desired functionality
- Understands and implements Application Programming Interface (API) standards and cataloging to drive API/service adoption and commercialization
- Apply tools (e.g., Sonar, Checkmarx) and techniques to scan and measure code quality and anti-patterns as part of development activity
- Has skills to collaborate with team and business stakeholders to estimate requirements (e.g., story pointing) and prioritize based on business value
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
- Familiarity with cloud platforms (AWS, Azure, Databricks) is a plus
What the job involves
- Reporting to the Director of Applied AI and working the with the Applied AI team, the Lead ML Engineer will enable AI impact at scale by building AI-powered applications and managing the MLOps lifecycle
- Provide technical vision and leadership
- Participate in team prioritization discussions with Product/Business stakeholders
- Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements
- Automate build, operate, and run aspects of software
- Drive code/design/process trade-off discussions within their team when required
- Report status and manage risks within their primary application/service
- Drive integration of services focusing on customer journey and experience
- Perform demos/acceptance discussions in interacting with Product owners
- Develop complete understanding of end-to-end technical architecture and dependency systems
- Explore new tools and technologies and do evaluations through meaningful POCs
- Drive adoption of technology standards and opinionated frameworks, and review coding, test, and automation work of team members
- Mentor and guide new and less-experienced team members
- Identify opportunities to improve an overall process and trim waste
- Share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity
Salary benchmarks
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
- Pension plan
- 25 days holiday (excl. bank holidays)
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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