Senior AI Engineer - Production ML & Data Platforms

re-zoo-me; Singapore; Hybrid; SGD 150,000 - 210,000; Full time

Job summary

Mastercard seeks a Senior AI Engineer to join the AI Foundations team. You will design and operate production-grade AI/ML services, build data pipelines and contribute to end-to-end AI workflows at scale.

You will collaborate with data scientists and platform engineers, use Python, Spark, SQL, Hive, and cloud services, and help ensure data quality, security, and governance across the enterprise. The role emphasizes high-performance systems, APIs, libraries, and reliable deployments, with a focus

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field; equivalent practical experience.
• Advanced Python and SQL skills with strong fundamentals in APIs, testing, and performance.
• Experience with open source tools, predictive analytics, ML, and data techniques.
• Experience with Python/Spark, Hadoop stack (Hive, Impala, Airflow, NiFi); building data-driven apps at scale.
• Production-level data workflows and ML systems deployment, monitoring, and evaluation.

Responsibilities

• Design, build, and operate production-grade AI/ML services, APIs, and platform components.
• Own end-to-end AI engineering workflows: data prep, model integration, deployment, monitoring.
• Support cloud migration of data workflows to Databricks, Cloudera, AWS, and other platforms.
• Collaborate with data scientists to improve features and end-to-end AI pipelines.
• Develop CI/CD pipelines for data deployments and ensure reliable, automated workflows.
• Improve observability and system reliability across data platforms.
• Align data solutions with business goals through collaboration with product and platform teams.
• Ensure data quality, security, and governance per industry standards.

Skills

Advanced Python

SQL

Spark

Hadoop

Machine Learning

Data Analytics

Communication

Problem Solving

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Hive

Impala

Airflow

NiFi

Databricks

Cloudera

AWS

Azure

GCP

Job description

Mastercard seeks a Senior AI Engineer to join the AI Foundations team. You will design and operate production-grade AI/ML services, build data pipelines and contribute to end-to-end AI workflows at scale.

You will collaborate with data scientists and platform engineers, use Python, Spark, SQL, Hive, and cloud services, and help ensure data quality, security, and governance across the enterprise. The role emphasizes high-performance systems, APIs, libraries, and reliable deployments, with a focus