The common responsibilities for this position include designing, building, and deploying state-of-the-art large language models (LLM) and machine learning models, applying natural language processing (NLP) techniques for text processing, and developing solutions for multiple languages and domains. The role involves collaborating with Data Engineers on database construction, supporting data scientists and end users in real estate with data-informed investment strategies, and optimizing recommendation systems. Additionally, the Machine Learning Engineer will prepare data for statistical modeling, support hypothesis generation and testing, and guide junior team members in their growth. The position also requires participation in system design discussions, contributing to the architecture of scalable AI solutions, and staying updated on advancements in machine learning, computer vision, and related technologies.
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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Academic degree required as indicated by all job postings
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