Unlocking Insights: Data Scientist for Large Language Models

2 semanas atrás

Brasil beBeeData Tempo inteiro R$156.357 - R$217.398
AI Data Scientist

This role involves contributing to the development, training, and fine-tuning of large language models (LLMs) by applying statistical methods, data analysis, and model evaluation techniques.

Key Responsibilities:
  • Design and implement statistical frameworks for large-scale datasets used in LLMs.
  • Perform exploratory data analysis (EDA) to detect biases, data inconsistencies, and anomalies in training corpora.
  • Collaborate with AI researchers and engineers to develop data annotation guidelines and evaluation protocols.
  • Apply advanced statistical methods to assess model outputs and guide iterative training improvements.
  • Develop automated tools for data preprocessing, labeling, sampling, and quality control in LLM pipelines.
  • Conduct rigorous hypothesis testing, A/B testing, and performance benchmarking of LLMs across tasks.
  • Interpret model behaviors using statistical insights and provide recommendations for model fine-tuning.
  • Document methodologies and maintain reproducible workflows.
Required Skills and Qualifications:
  • Master's or PhD in Statistics, Applied Mathematics, Data Science, Computer Science, or related quantitative field.
  • Strong knowledge of statistical modeling, probability theory, and experimental design.
  • Experience with large-scale datasets, data cleaning, feature engineering, and statistical analysis tools.
  • Proficiency in programming languages such as Python, R, or Julia, including libraries like pandas, NumPy, SciPy, scikit-learn, or statsmodels.
  • Familiarity with ML frameworks (TensorFlow, PyTorch) and understanding of LLM architectures.
  • Strong analytical thinking, attention to detail, and problem-solving skills.
  • Excellent written and verbal communication skills.

As part of this project, an English language assessment is required. Please share your updated resume at tsingh3@innodata.com if interested.

Seniority level:
  • Associate
Employment type:
  • Part-time
Job function:
  • Data Science and Analytics
Industries:
  • Technology and IT Services

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