The common responsibilities for this position include conducting research in natural language processing, machine learning, and data science; developing and fine-tuning deep learning models for NLP tasks such as text classification, information extraction, and entity recognition; using Machine Learning, particularly Large Language Models, to analyze the relationship between descriptions and permissions of mobile applications; performing data analysis; assisting in documentation; and collaborating on projects involving language modeling and semantic data processing. The role also involves assisting project leaders in various research projects, developing and integrating AI modules, preparing training datasets, training models, performing testing to improve model performance, creating automated test cases, refining AI-driven product features based on user feedback, and contributing to administrative tasks and technical documentation.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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