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Senior, highly specialized ML leadership role at a Tier-1 bank with metro location reduces applicant density.
Role demands deep ML/AI leadership and domain-specific banking knowledge, limiting cross-industry transferability.
Explicit seniority, mandatory ML leadership, GCP and foundation model requirements enforce strict filtering.
Lead and manage data science team to develop, operate, and maintain machine learning solutions across multiple teams.
Oversee full AI/ML project lifecycle including data exploration, model development, deployment, monitoring, and performance optimization.
Collaborate with cross-functional teams and embed Responsible AI governance in AI workflows ensuring ethical principles and regulatory compliance.
Minimum 5 years of experience in data science or AI roles.
Degree in Computer Science, AI, Data Science, or related field, or equivalent experience.
Experience leading multidisciplinary teams of Data Scientists and Machine Learning Engineers.
Strong understanding of cloud platforms, preferably Google Cloud Platform (GCP).
Expert in machine learning techniques including forecasting, ensemble methods, and model stacking with troubleshooting skills for model performance.
Proficient in Python with experience in multi-threading, asynchronous programming, performance profiling, and advanced debugging.
Experience with Foundation Models including theoretical understanding and creative problem-solving ability, balancing innovation with practicality.