Senior AI Engineer, Big Data & AI Solutions

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
O Fallon, MO
Salary
$115,000–$184,000 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $150k
$98k most similar roles pay here $270k

This role pays less than 85% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $150k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior AI Engineer, Big Data & AI Solutions

Senior AI Engineer, Big Data & AI Solutions joins the Security Solutions Data Science team to develop machine learning capabilities that protect the global payments ecosystem from fraud and cyber threats. Working at the intersection of AI and big data engineering, you will build data pipelines, create feature engineering workflows, and strengthen monitoring, observability, and drift detection for models analyzing billions of transactions in real time. You will apply MLOps practices to improve reliability while developing AI-powered solutions to streamline operational processes. The role requires proficiency in Python, PySpark, SQL, and distributed data processing, alongside experience with Databricks, Airflow, Hadoop, Linux/Unix, and cloud-native technologies. Candidates should possess knowledge of deep learning, CI/CD, and version control. Preferred expertise includes fraud, cybersecurity, payments, and generative AI applications like LLMs or RAG to solve complex security challenges.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Support machine learning models to detect cyber-attacks and fraud while improving decision intelligence.
  • Create data pipelines and feature engineering workflows to enable model development and evaluation.
  • Process and analyze large-scale datasets to uncover insights and improve model inputs.
  • Strengthen monitoring, observability, and drift detection capabilities across production environments.
  • Apply MLOps practices and automation to improve reliability, efficiency, and scalability of systems.
  • Develop AI-powered solutions to address engineering challenges and streamline operational processes.
  • Deploy new capabilities into production by collaborating with Data Science, Engineering, and Product teams.

What we're looking for

  • A Master’s degree with 2+ years of experience or a Bachelor’s degree with 5+ years of experience in a relevant technical field.
  • Proficiency in Python, PySpark, SQL, and distributed data processing.
  • Hands-on experience with feature engineering, large-scale data processing, and analytics.
  • Experience with Databricks, Airflow, Hadoop, Linux/Unix, and cloud-native technologies.
  • Understanding of machine learning, deep learning techniques, and model deployment, evaluation, monitoring, and optimization.
  • Knowledge of MLOps concepts including testing, automation, CI/CD, and version control.
  • Ability to communicate technical concepts and collaborate across cross-functional teams.
  • Preferred experience in fraud, cybersecurity, payments, or risk management domains.

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