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Company Overview
A Singaporean multinational technology company has developed a super-app providing users with access to a wide range of services. Headquartered in Singapore, it operates in several Southeast Asian countries, including Malaysia, Cambodia, Indonesia, Myanmar, the Philippines, Thailand, and Vietnam.
Job Title: Senior Data Scientist, Conversational AI
Job Description
A leading organization is seeking a talented and experienced Senior Data Scientist specializing in Conversational AI to join their team. In this role, the successful candidate will be instrumental in leveraging the power of artificial intelligence to enhance user interactions and drive product innovation.
The Critical Tasks You will Perform
They will analyse large volumes of unstructured data to understand the business, the product, and user pain points.
They will design, develop, and train advanced machine learning models tailored for conversational AI.
They will develop and refine solutions for tasks such as intent recognition, sentiment analysis, information extraction, and dialogue management.
They will perform rigorous model evaluation and A/B testing, deploying models in split environments to measure their real-world performance.
They will collaborate with cross-functional teams to integrate the models and enhance the product experience.
They will stay updated on the latest advancements in the field and experiment with innovative approaches to test their effectiveness.
What Essential Skills You will Need
They have a Degree in Computer Science or related fields, with at least 3 years of relevant experience.
They are proficient in analysing large datasets to obtain actionable insights.
They have expertise in designing and training machine learning models, with fundamentals in NLP algorithms and mathematics, including familiarities with deep learning frameworks (e.g., PyTorch) and algorithms (CNN/RNN, BERT, seq2seq models).
They are experienced in using LLMs in NLP tasks and other applications. Familiar with application patterns such as RAG.
They have experience developing solutions for tasks like intent recognition, sentiment analysis, information extraction, and dialogue management.
They have experience in model evaluation and A/B testing techniques to assess model performance in real-world scenarios.
They are proficient in statistical programming languages such as Python, with familiarity in RDBMS like PostgreSQL or MySQL.
Disclaimer
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