Data Engineer specializing in Natural Language Processing
ifm-usAbu Dhabi
On-site Full-time
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Experience Level
Experience
Qualifications
Qualifications:Proficient in Python and related technologies for data management and processing. Experience with Natural Language Processing and large-scale data processing. Strong analytical skills with a focus on solving complex problems innovatively. Ability to work collaboratively in a fast-paced, research-driven environment. Knowledge of web crawling techniques and data pipeline construction.
About the Institute of Foundation Models
The Institute of Foundation Models is a pioneering research laboratory committed to the development, comprehension, utilization, and risk management of foundation models. Our mission is to propel research initiatives, cultivate the next generation of AI innovators, and make significant contributions to a knowledge-based economy.
Joining our team means engaging in the heart of advanced foundation model training, collaborating with esteemed researchers, data scientists, and engineers to address fundamental and high-impact challenges in AI advancement. You will play a vital role in crafting innovative AI solutions capable of transforming entire sectors. Your strategic and inventive problem-solving abilities will contribute to establishing MBZUAI as a worldwide leader in high-performance computing for deep learning, fostering discoveries that will inspire future AI trailblazers.
The Role
As a Data Engineer focused on Natural Language Processing (NLP) and large-scale data processing, your primary responsibility will be to efficiently collect, curate, and prepare high-quality datasets that support groundbreaking NLP research. You will empower researchers by providing essential data through scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily utilizing Python and associated technologies.
About ifm-us
The Institute of Foundation Models is at the forefront of AI research, dedicated to developing transformative technologies and cultivating the next generation of AI experts. We aim to contribute significantly to a knowledge-driven economy through our innovative research initiatives.
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