Design, build, and validate ML/DL models across diverse domains(computer vision, NLP, predictive analytics, anomaly detection)
Oversee and drive the full model lifecycle: problem framing, data engineering, experimentation, evaluation, and deployment — collaborating with engineers and analysts for implementation
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Engage business leaders to discuss the business benefits that ML and AI can provide. Develop AI and ML models and algorithms to solve business problems
Create and manage use cases to apply ML and AI concepts
Monitor document ingestion pipeline, involve business to do trouble shooting
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