Principal AI/ML Feature Engineer

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 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.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges
O'Fallon, Missouri: $165,000 - $264,000 USD