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- Lead the design, development, and deployment of scalable AI/ML solutions, including model selection, training, evaluation, and productionization across diverse business use cases.
- Architect end-to-end data and AI pipelines, integrating data engineering, feature engineering, and MLOps practices to ensure reliable, efficient, and maintainable systems.
- Provide technical leadership and mentorship, establishing best practices in model governance, ethics, performance monitoring, and continuous improvement of AI systems.
- Collaborate with cross-functional stakeholders to translate business problems into AI-driven solutions, ensuring measurable impact, robustness, and alignment with organizational goals.
