Senior AI Engineer, Big Data & AI Solutions
Mastercard9 days ago
Base Salary
$115k - $184k/yr
Responsibilities
- Build and enhance large-scale data and feature pipelines using Apache Spark/PySpark, Python, and SQL.
- Transform high-volume data into reliable machine learning features and inputs.
- Support model development, evaluation, deployment, and production performance with data scientists and engineers.
- Improve model monitoring, observability, and drift detection.
- Optimize and retrain production models and their supporting pipelines.
- Apply CI/CD, automated testing, version control, and MLOps practices.
- Develop AI-powered, generative AI, and agentic solutions to improve engineering workflows and operational efficiency.
Requirements
- A master's degree with 2+ years of relevant experience or a bachelor's degree with 5+ years of relevant experience in computer science, artificial intelligence, machine learning, data science, engineering, or a related field; equivalent practical experience is considered.
- Hands-on professional experience with Apache Spark/PySpark in large-scale or distributed data-processing environments.
- Hands-on experience with CI/CD practices, including automated integration, testing, or deployment workflows.
- Proficiency with Python and SQL and experience building ETL, data, or feature engineering pipelines.
- Experience with large-scale data technologies such as Databricks, Airflow, Hadoop, Linux/Unix, or comparable platforms.
- Understanding of the production machine learning lifecycle, including model development, deployment, monitoring, evaluation, and optimization.
- Experience supporting production AI/ML systems, including model monitoring, observability, or drift detection, is preferred.
- Experience in fraud, cybersecurity, payments, or risk management is preferred.
- Experience with generative AI, LLMs, RAG, or agentic AI is preferred.
- Familiarity with AI-assisted development tools such as GitHub Copilot or Claude Code is preferred.
- Experience with cloud-based data and AI environments is preferred.
- Strong problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Full-time benefits generally include medical, prescription drug, dental, vision, disability, and life insurance; flexible spending and health savings accounts; paid leave; sick and safe time; vacation; personal days; paid U.S. holidays; 401(k) matching; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; and tuition reimbursement.
- The position is intended to be filled by November 12, 2026, or as soon as possible if that date has passed.
- The listed work location is O'Fallon, Missouri.
Tech Stack
Categories
Data EngineeringML Engineering
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).