Data Engineer
Skills
About This Role
Overview
As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research.
Your role
will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
Key Responsibilities
- Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLP researchers, delivering data within tight timelines (typically within 1-2 days).
- Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
- Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
- Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
- Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
- Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
- Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
- Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.
- Perform all other duties as reasonably directed by the line manager commensurate with these functional objectives.
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