ML Engineer, NLP

• Design, develop, and deploy machine learning models for NLP tasks such as text classification, sentiment analysis, and entity resolution.
• Collaborate with cross-functional teams to integrate ML models into larger applications and systems.
• Develop and maintain large-scale data pipelines for collecting, preprocessing, and preparing data for ML model training.
• Conduct thorough testing and evaluation of ML models to ensure high accuracy and reliability.
• Stay up-to-date with industry trends and advancements in ML and NLP to continuously improve our capabilities.
• Work closely with stakeholders to understand business needs and develop solutions that meet those needs through data-driven insights.

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