Senior AI Engineer
Core
Build production-grade AI and ML services, APIs, and data infrastructure enabling enterprise-scale AI at Mastercard.
Role type
Senior AI Engineer (Platform & Data Infrastructure)
Builds
Production AI/ML services, data pipelines, distributed processing frameworks, and reusable platform components.
Domain
Financial Technology / Payments / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Spark, Hadoop (Hive, Impala), Airflow, NiFi, Cloud-native services, Containerization, CI/CD, Data Governance, Model Deployment, Observability
Preferred skills
Java, Scala, Azure, Databricks, AWS, GCP, Agile methodologies, Dashboard development
Technologies
Python, Spark, SQL, Hive, Impala, Airflow, NiFi, Databricks, Cloudera, AWS, Azure, GCP
Responsibilities
Design and operate production-grade AI/ML services and APIs; Own end-to-end AI engineering workflows from data prep to monitoring; Support cloud migration of data workflows; Collaborate with data scientists on feature engineering and model integration; Develop CI/CD pipelines for automated deployments; Improve system monitoring and observability; Ensure data quality, security, and compliance.
Seniority
Senior, hands-on IC
