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Tier-1 brand, metro location, mid-level generalist ML role with broad skillset increases applicant competition.
Core ML and deep learning skills transfer across industries, though payments domain knowledge is beneficial.
Extensive mandatory ML, deep learning, big-data and production-tool requirements enforce strict technical filters.
Define business problems and link AI/ML methodologies to solve them effectively.
Develop and deploy AI/ML applications using advanced industry and academic techniques.
Collaborate cross-functionally, including international teams, to execute Mastercard’s AI initiatives.
Work Experience Required: Not explicitly mentioned in the JD
Proficiency in AI/ML techniques including deep learning, classical machine learning algorithms, and optimization methods.
Experience with programming languages and statistical tools such as Python, R, and SQL.
Familiarity with big data platforms like Hadoop, Hive, Spark, and use of deep learning frameworks such as TensorFlow, Keras, or PyTorch.
Strong ability to translate complex business challenges into AI-driven solutions with measurable impact.
Experience working in a cross-functional and multinational environment to implement AI strategies.
Comfortable leveraging a wide range of AI technologies including NLP, speech, image processing, and recommender systems.