The common responsibilities for this position include collaborating with cross-functional teams to develop and implement AI solutions, designing and developing AI applications and systems, conducting data analysis and preprocessing, training and optimizing machine learning models, applying NLP techniques for various tasks, and integrating AI models into production systems. The role also involves monitoring performance, documenting code and processes for knowledge sharing, staying updated on AI advancements, participating in code reviews and testing, and customizing AI models to meet departmental needs. Additionally, responsibilities include developing predictive algorithmic models, ensuring data security, and translating technical concepts into clear communication.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position