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Data Scientist - LLM (Customer Service)

Binance
Singapore
Full time
Hybrid

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Singapore, Southeast Asia

Company size

Start Up [ <10 employees ]

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This role focuses on advancing customer service scheduling optimization through AI solutions. It involves developing and refining LLMs to extract insights and optimize scheduling systems.

Requirements

  • Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field.
  • A minimum of 3 years of relevant industry experience in AI/ML. Hands-on experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
  • Proficiency in programming languages such as Python, Java, with experience in machine learning (ML), natural language processing (NLP) libraries, and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, SpaCy, and NLTK.
  • Experience in the customer service field is required. Knowledge of the customer service scheduling process is necessary, and experience with related projects is preferred.

    • Responsibilities

  • Responsible for the research and implementation of related algorithms in the fields of customer service scheduling optimization.
  • In-depth understanding of customer service scheduling systems with the business domain knowledge to take the impact of AI product to the next level
  • Develop and fine-tune Large Language Models (LLMs) to derive actionable insights and enhance business decision-making processes.
  • Work as prompt engineers to refine and optimize prompt design, enabling more accurate and contextually relevant outputs from LLMs.
  • Develop scalable and robust LLM/RAG frameworks that can be adapted to customer service scheduling, driving innovation and maintaining a competitive edge in the market.
    • Company
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