The tech industry offers some of the highest paying opportunities among all sectors. The demand for workers with advanced tech skills, many companies are putting more assets into enrolling, hiring and nurturing the right talent to remain in the global competition. Employees are willing to put time into developing tech skills.
Jennifer Juo, who leads the content marketing team at Udemy said,
“Organizations are becoming more data-driven, and that’s partly because they’re harnessing the power of AI, and there’s a need to analyze and process data across all kinds of roles.”
Hiring managers are having a really hard time trying to fill roles that require skills in software development, AI and cloud computing and business intelligence. In 2016, an enrolment software provider took companies an average of 55 days to fill a tech role. In 2019, the number jumped to 66 days. According to iCIMS, these vacant roles can cost about $680 in lost income per day per vacancy.
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So, which are the skills that hiring managers are desperately looking at? Is it AI, Machine Learning? Here are 10 of the most in-demand tech jobs of 2020.
A programming language used in software development, infrastructure management, and data analysis. A general-purpose programming language used for developing applications and websites.
- React (Web)
- Machine learning
The scientific study of algorithms and statistical models. A branch of artificial intelligence.
An open-source platform used to create software packages called containers. It is a tool to create, deploy and run applications.
A professional tech organization that has four IT certification series ranging from entry-level to expert.
A Python-based free and open-source web framework.
- Amazon AWS
A certification that validates cloud expertise. It is an on-demand cloud computing platform.
- React Native (mobile)
An open-source mobile application framework created by Facebook to develop apps for Android, iOS, Web and Universal Windows Platform.
- Deep Learning
A class of machine learning based on artificial neural networks.