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Tier-1 brand, metro location, and mid-level generalist ML role create high applicant competition.
Strong ML/MLOps skills are transferable, but payments governance and privacy add domain specificity.
Mandatory 5+ years, specific ML frameworks, big-data and productionization experience create strict technical filters.
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Lead end-to-end AI/ML solution development for product optimization and sales enablement including problem definition, modeling, deployment, and monitoring.
Design and implement reusable and scalable AI models and microservices in partnership with global engineering teams.
Ensure AI solutions comply with governance, privacy, and Mastercard operational standards while collaborating with stakeholders globally.
At least 5 years of experience in Data Science, AI, or Machine Learning including strategy and solution development.
Proficiency in Python (preferred), R, SQL, and ML frameworks such as TensorFlow, Keras, PyTorch, and XGBoost.
Experience with big data technologies like Hadoop, Hive, Spark, and GPU-enabled environments.
Degree in Computer Science or a closely related field.
Experienced in translating complex business problems into measurable AI/ML objectives with a practical, business-aligned approach.
Skilled in building production-grade, scalable AI systems with strong architectural foresight and attention to operational reliability.
Capable communicator comfortable working with global, cross-functional teams and mentoring junior team members.