Mastercard’s AI Services team is looking to build, scale, and productionize ML systems that support one of the world’s most widely used technology platforms and solve high-impact business problems with real-world data
Requirements
- Strong programming skills in Python and/or R
- Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Spark/ML
- Hands-on experience deploying models with Docker and Kubernetes
- Experience managing production ML systems, pipelines, and monitoring
- Experience with graph analytics using Python, R, or TigerGraph
- Experience with Cloudera, AWS, Azure, and Splunk
- Experience with Linux environments
Responsibilities
- Design, build, and improve ML systems end-to-end
- Extend data science prototypes and transform large datasets across Cloudera, AWS, Azure, and Splunk
- Develop applications and maintain ML workflows in Linux environments
- Perform statistical analysis, anomaly detection, and model drift investigation
- Train, retrain, and evaluate ML models for production use
- Build and maintain ML pipelines using modern frameworks
- Create dashboards and visualizations (Tableau, Jupyter, RShiny, d3)
Other
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar
- Strong communication skills and ability to tell compelling data stories
- Experience in a large enterprise / Fortune 500 environment (nice to have)
- Ability to collaborate with engineers and product teams to operationalize ML at scale
- Ability to lead high-impact AI projects at global scale
