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Tier-1 brand, mid-level ML role in Gurgaon with broad skill requirements increases candidate competition.
Requires ML expertise plus payments/fraud domain knowledge, so cross-industry transferability is moderately sensitive.
Extensive mandatory ML, deep-learning, production-data platform skills and financial domain expectations make shortlisting highly strict.
Define business problems by gathering relevant information and apply AI methodologies to address them.
Develop and deploy AI/ML applications leveraging latest industry and academic advancements, focusing on operational efficiency and improving customer experience.
Collaborate cross-functionally and internationally to execute AI initiatives in Mastercard’s products and services including fraud risk, AML, recommendation systems, and cybersecurity.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in AI/ML tools and frameworks including Python, R, SQL, TensorFlow, Keras, PyTorch, and Big Data platforms like Hadoop, Hive, Spark.
Background in machine learning algorithms such as Logistic Regression, Decision Trees, Clustering, Random Forest, GBM, SVM, and deep learning techniques including CNN, LSTM, GRU.
Relevant degree or concentration in Computer Science or related field.
Experience competing in AI challenges (e.g., Kaggle) demonstrating practical AI expertise.
Strong technical foundation in both classical and deep learning algorithms and experience deploying production AI systems.
Ability to work collaboratively across teams and geographies to drive AI strategy execution in a complex, real-time payment processing environment.