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Tier-1 brand, metro location, generalist lead ML title, and broad skill requirements increase competition.
Highly specialized senior ML/AI leadership requires deep domain expertise, limiting transferable backgrounds.
Explicit 13+ years requirement plus advanced ML, MLOps, cloud, and leadership skills impose high strictness.
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Lead technical strategy and architectural direction for large-scale machine learning projects, optimizing solutions and managing constraints.
Architect and deploy advanced ML systems including predictive models, recommendation engines, and anomaly detection, ensuring enterprise-grade scalability and performance on both on-premise and cloud platforms.
Partner with senior business leaders to translate business objectives into measurable ML solutions and lead the mentoring and development of data science teams.
Minimum 13+ years of experience in Data Science with impact in enterprise environments.
Proficiency in machine learning concepts and programming languages including Python, PySpark, SQL, and advanced ML frameworks.
Experience in advanced DevSecOps, MLOps pipeline management, and multi-cloud architecture.
Educational credentials must be from recognized and accredited institutions; verification subject to confirmation.
Demonstrated ability to define and lead enterprise-level ML technical strategies and architecture, balancing business requirements and system constraints.
Strong leadership skills with proven experience mentoring and elevating data science teams and establishing best practices.
Experience working closely with senior business leaders to align ML solutions with strategic business objectives and drive organizational transformation.