The role focuses on implementing data quality strategies and delivering solutions using advanced AI and machine learning tools within Mastercard's global data sets
Job Summary
The role focuses on implementing data quality strategies and delivering solutions using advanced AI and machine learning tools within Mastercard's global data sets.
Candidates will lead the development of ML models supporting use cases across forecasting, optimization, NLP, computer vision, and generative AI.
This position requires collaborating with cross-functional teams to ensure high-quality external data is integrated effectively while adhering to strict governance standards.
Matching Summary
The role focuses on implementing data quality strategies and delivering solutions using advanced AI and machine learning tools within Mastercard's global data sets.
Skills & Requirements
Must-have
Python programming with NumPy Pandas Scikit-learn
Machine learning model development and deployment
SQL and cloud platform expertise Azure AWS GCP
Generative AI LLMs prompt engineering vector databases
Data governance compliance and privacy regulations
Nice-to-have
Experience with MLOps CI/CD and model monitoring
Background in forecasting or risk modelling
Strong stakeholder management and communication skills
Ability to simplify complex AI topics for non-technical audiences
Hands-on experience with Azure OpenAI Databricks Snowflake ML
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Proven experience developing and deploying ML models in production environments
Solid understanding of distributed data systems and enterprise data strategy