Lead Machine Learning Engineer Full-time

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 Machine Learning Engineer

Mastercard is a global technology company. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making payment and data 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.
Overview
ML Engineering team leads AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.
For this team, MasterCard is seeking a Lead Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Program Team as well as Data Science team.
Responsibilities –
• Responsible for modern architecture-based deployment for AI/Machine Learning solutions, products.
• Providing service to other engineering teams across organization, cross functions for deliver quality architecture for AI/ML model deployments or serving.
• Define deployment strategy and infrastructure for models and be responsible for ensuring model development is deployable at scale.

Experiences
• 5+ years of 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.)
• 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(LSTM, CNN etc.)
• Experience with ML frameworks and libraries like TensorFlow, Keras, Pytorch, Kubeflow
• Ability to learn new technologies quickly and mentor Data Science 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
• Excellent communication/presentation skills

#AI1

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.