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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Data Scientist (LLM)
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Data Scientist (LLM)

Manpower Staffing Services (singapore) Pte Ltd

Manpower Staffing Services (singapore) Pte Ltd company logo

Job Responsibilities:

  • Design, develop, and oversee the implementation of processes and tools to assess the quality of data used in large language model (LLM) model training.
  • Create metrics and KPIs to evaluate data accuracy, consistency, and relevance.
  • Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data.
  • Lead the integration of quality processes into existing data pipelines.
  • Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
  • Provide feedback loops and ensure alignment of data quality with annotation guidelines.
  • Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance.
  • Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis.
  • Keep abreast of the latest trends and advancements in data quality management.
  • Recommend and implement enhancements to our quality processes, tools, and methodologies based on industry best practices.

Requirements:

  • 7+ years of design/test/implementation/consulting experience in data quality management for machine learning model training.
  • Strong understanding of machine learning principles, especially in the context of NLP and LLMs.
  • Fundamental knowledge in relevant programming languages and tools (e.g., Python, SQL).
  • Demonstrated experience in project management and cross-functional collaboration.
  • Exceptional analytical, problem-solving, and organizational skills.
  • Proven ability to think strategically about business, product, and technical challenges.
  • Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
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