The common responsibilities for this position include conducting research on machine learning models for various AI applications such as computer vision, natural language processing, and audio synthesis. The role involves developing, implementing, and testing AI algorithms and models, including deep learning and GenAI methodologies, as well as training and fine-tuning these models. Responsibilities also encompass running and analyzing machine learning experiments to diagnose issues, collaborating with cross-functional teams, and providing technical guidance for the implementation and deployment of AI solutions. Additional duties include optimizing algorithms, engaging in R&D for AI analytics, and contributing to the development of intellectual property while staying updated on advancements in AI 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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position