The common responsibilities for this position include analyzing and consolidating data, assisting in in-house dataset development, and supporting data annotation and processing. Additionally, the role involves performing thorough research and creating innovative hardware/software algorithms, including testing, deployment, and ongoing maintenance. The position requires analyzing diverse data sets to extract meaningful insights for statistical analysis and developing creative methodologies and solutions to effectively overcome complex challenges. Leading the research and development of machine learning modules and artificial intelligence is also a key responsibility, along with enhancing data integration pipelines and tools to ensure smooth operation of machine learning and artificial intelligence applications. Lastly, assisting with project management and administrative tasks as needed is part of the role.
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.
Types of companies in the sector that have advertised a position
Education level required as indicated
Fields of study of the positions advertised by employers
Employment Mode of the positions advertised by employers
Employment Type of the positions advertised by employers