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 that meet performance, scalability, and reliability requirements, and conducting data analysis, preprocessing, and feature engineering. The role also involves training, evaluating, and optimizing machine learning models using various algorithms and techniques, applying natural language processing (NLP) techniques for tasks like text classification and sentiment analysis, and ensuring seamless execution and maintenance of AI-related workflows. Additionally, the position requires staying updated with the latest advancements in AI and deep learning, participating in code reviews, testing, and debugging, and documenting code, algorithms, and processes for knowledge sharing and maintainability.
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