As a ML/AI Engineer II-2 in Mastercard's Business & Market Insights (B&MI) group, you will play a crucial role in developing and delivering secure, scalable, and high-performing AI/ML solutions for the Operational Intelligence Program. Your responsibilities will include:
Leading the design and development of AI and analytics solutions covering classical machine learning, time-series forecasting, statistical modeling, deep learning, and emerging agent-based architectures. - Developing predictive and prescriptive models using various approaches such as regression, tree-based models, clustering, anomaly detection, Bayesian inference, and ensemble methods. - Building and optimizing time-series forecasting frameworks for financial and operational use cases. - Integrating Generative AI and multi-agent systems with traditional ML methods to enable reasoning-driven automation and intelligent decision support. - Performing exploratory data analysis, feature engineering, and hypothesis-driven insights to guide business-critical decisions. - Creating reusable model components, frameworks, and evaluation workflows to ensure model governance and responsible AI practices. - Collaborating closely with business stakeholders, product teams, and data engineering partners to translate domain challenges into measurable analytical solutions. To excel in this role, you should have:
Masters/bachelors degree in computer science or engineering. - Considerable work experience in successfully building complex AI/ML projects/products. - Hands-on experience in designing, building, and deploying conventional AI/ML solutions and LLM/Agentic solutions. - Strong analytical and problem-solving abilities with a quick adaptation to new technologies and methodologies. - Applied knowledge and hands-on experience in advanced statistical techniques, predictive modeling, machine learning algorithms, GenAI, and deep learning frameworks. In addition to your technical skills, you will be responsible for upholding Mastercard's Corporate Security Responsibility by following security policies, ensuring confidentiality and integrity of information, reporting any security violations, and completing mandatory security trainings. Join Mastercard's B&MI group to be part of a team that empowers organizations with data-driven insights and advanced analytics to drive profitability and success in a sustainable economy for all. As a ML/AI Engineer II-2 in Mastercard's Business & Market Insights (B&MI) group, you will play a crucial role in developing and delivering secure, scalable, and high-performing AI/ML solutions for the Operational Intelligence Program. Your responsibilities will include:
Leading the design and development of AI and analytics solutions covering classical machine learning, time-series forecasting, statistical modeling, deep learning, and emerging agent-based architectures. - Developing predictive and prescriptive models using various approaches such as regression, tree-based models, clustering, anomaly detection, Bayesian inference, and ensemble methods. - Building and optimizing time-series forecasting frameworks for financial and operational use cases. - Integrating Generative AI and multi-agent systems with traditional ML methods to enable reasoning-driven automation and intelligent decision support. - Performing exploratory data analysis, feature engineering, and hypothesis-driven insights to guide business-critical decisions. - Creating reusable model components, frameworks, and evaluation workflows to ensure model governance and responsible AI practices. - Collaborating closely with business stakeholders, product teams, and data engineering partners to translate domain challenges into measurable analytical solutions. To excel in this role, you should have:
Masters/bachelors degree in computer science or engineering. - Considerable work experience in successfully building complex AI/ML projects/products. - Hands-on experience in designing, building, and deploying conventional AI/ML solutions and LLM/Agentic solutions. - Strong analytical and problem-solving abilities with a quick adaptation to new technologies and methodologies. - Applied knowledge and hands-on experience in advanced statistical techniques, predictive modeling, machine learning algorithms, GenAI, and deep learning frameworks. In addition to your technical skills, you will be responsible for upholding Mastercard's Corporate Security Responsibility by following security policies, ensuring confidentiality and integrity of information, reporting any security violations, and completing mandatory security trainings. Join Mastercard's B&MI group to be part of a team that empowers organizations with data-driven insights and advanced analytics to drive profitability and success in a sustainable economy for all.