Principal AI/ML Feature Engineer

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

Principal AI/ML Feature Engineer

Our Purpose

Mastercard powers economies and empowers people in over 200 countries and territories worldwide. Together with our customers, we're building a sustainable economy where everyone can prosper. We support a wide range of digital payment 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

Position Overview

We are seeking a self-motivated and enthusiastic Principal AI/ML feature Engineer to join the AI & Center of excellence Services team. You will be at the forefront of designing, developing, and deploying cutting-edge machine learning features that drive core business value for Mastercard. You will leverage your deep technical expertise to build sophisticated data pipelines and engineer impactful features, directly influencing our products and strategies.

This individual will be responsible to work with our AI/ML Architects, Engineers, infrastructure, Information Security, Technical Product Managers and Senior Stakeholders to ensure we are delivering the right solutions for our customers.

Key Responsibilities

Design, develop, and implement advanced features from raw data for various machine learning models, ensuring their relevance, robustness, and scalability

Build and optimize efficient and reliable data pipelines to support the ingestion, transformation, and delivery of data for AI/ML applications

Provide technical guidance and mentorship to other junior engineers

Work closely with AI engineers, product managers, and other engineering teams to understand requirements, translate business problems into technical solutions, and integrate AI/ML features into production systems

Support the deployment, monitoring, and maintenance of AI/ML features in production environments

Implement robust testing and validation processes to ensure the quality, accuracy, and reliability of engineered features and AI/ML data pipelines

Building and configuring environments supporting CI/CD tools using an Agile delivery methodology

Strong experience using infrastructure as Code (IaC) with tools such as Cloud Formation, Terraform to buildout cloud deployments



All About You:

Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field

Experience: Minimum of 10+ years of experience in AI/ML feature engineering, data engineering, or a related field, with a strong focus on building and deploying AI/ML feature pipelines in production

Proficiency in programming languages such as Python, Scala, or Java

Extensive experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark).

Hands-on experience with any of the cloud platforms

Strong background in SQL and NoSQL databases

Experience with big data technologies

Knowledge with Hadoop (CDP), relational databases and SQL, ETL development, data validation and testing, data Analysis, and experience with Hadoop technologies such as Hive, Impala, Sqoop, Hue, Spark, Python of Hadoop Platform is a plus.

Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD for ML)

Exceptional analytical and problem-solving skills, with the ability to translate complex business challenges into technical solutions

Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

Proven ability to work effectively in cross-functional teams and drive projects to successful completion

A strong passion for innovation and a track record of exploring and adopting new technologies and methodologies in the AI/ML space

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