Principal Machine Learning Engineer, Mastercard
Global payments technology company
Open for applications
Global payments technology company
1001+ employees
Open for applications
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
- 8-10-year experience working in AI/ML technology domain or similar
- Experience in building and deploying AI/ML models in enterprise production environments/large scale projects with modern light weight design (API, Microservices etc.)
- Hands on experience in standing up K8S based AI/ML platform as well as working with workloads inside Kubernetes environment is required
- Good knowledge of Machine learning —bias-variance trade off, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, deep learning algorithms
- Experience with ML frameworks and libraries like TensorFlow, Keras, Pytoch, Kubeflow etc
- Prior experience with Enterprise AI/ML Architecture pillars– BDAT
- Ability to learn new technologies quickly and mentor other team members in AI/ML domain
- Proven track record of delivering and willingness to roll up sleeves to get the job done
- Current with industry trends on On-premise or Cloud native deployments
- Proficiency with cloud technologies (IaaS, PaaS, serverless technology) micro-service design, CI/CD, DevOps
- Excellent communication/presentation skills
What the job involves
- ML Engineering team leads AI/ML deployments across Mastercard platforms. The team is responsible for leading the implementation of AI/ML based solutions, proposing the right architecture & technologies, and evaluating the evolution of the architecture as the needs change
- For this team, MasterCard is seeking a Principal Software Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Product, Program as well Data Science teams
- Responsible for presenting AI/ML architecture design/details to Data Science, Program, Product and Architect group
- Responsible to advance, improve, stand-up AI/ML framework over K8S based platform with architect and engineering groups
- Responsible for accelerating modern architecture-based development or deployment of AI/Machine Learning solutions using light weight stack and scaled version of modelling techniques
- Provide service to other engineering teams across organization, cross functions to deliver quality architecture for AI/ML model deployments or serving
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
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company values
- Trust - integrity, respect, openness
- Agility - urgency and value through innovation
- Partnership - working as one team for the benefit of all
- Initiative - taking bold and thoughtful actions
Company HQ
Purchase, Harrison, NY
Articles
Leadership
Michael Miebach
(CEO, not founder)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.
People progressing
Joined as VP in 2008, promoted 4 times in 11 years to their current position of Executive Vice President.
Salary benchmarks
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