The common responsibilities for this position include assisting in R&D projects, handling software development and deployment, developing deep learning models for various applications, creating data analytics systems, supervising junior staff, preparing project proposals, and conducting unit testing of software. Additionally, responsibilities encompass researching, designing, and developing machine learning models and optimization algorithms, collecting and preprocessing raw data, using statistical tools for data analysis, developing predictive models for time series forecasting, and providing technical recommendations. The role also involves exploring machine learning solutions for business fields, adapting and tuning algorithms, optimizing algorithm efficiency, and collaborating with project teams to enhance product automation and performance.
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