The common responsibilities for this position include collaborating with cross-functional teams to identify and develop AI use cases, designing, developing, and implementing AI models and applications, and conducting data analysis and preprocessing for AI models. Responsibilities also encompass training and optimizing machine learning models, applying NLP techniques for text classification and sentiment analysis, and integrating AI models into production systems. The role involves participating in project meetings to report progress, documenting code and processes, and staying updated on advancements in AI, machine learning, and NLP technologies. Additionally, the position requires creating predictive algorithmic models, monitoring and optimizing AI systems, and ensuring seamless integration with existing infrastructure.
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