• 12+ years in AI/ML, Data Science, or Applied Research, with at least 4–5 years in leadership or architecture roles.
• Proven experience leading enterprise-scale AI initiatives involving Generative AI, LLMs, or Deep Learning systems.
• Strong expertise in Python, TensorFlow, PyTorch, and MLOps pipelines; familiarity with LangChain and vector databases is a plus.
• Hands-on understanding of data engineering, cloud platforms, and distributed systems.
• Demonstrated ability to translate business needs into scalable AI architectures and tangible outcomes.
• Excellent communication, stakeholder management, and team leadership skills.
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