- According to a Gartner report, by 2020, AI will eliminate 1.8 million traditional jobs and create 2.3 million new jobs
- ‘The Future of Jobs 2018’, a report from the World Economic Forum (WEF) states that by 2022, growth of AI would lead to creation 58 million net new jobs being created
- A report from Indeed revealed that demand for AI professionals has increased by more than two times over the past three years
- A recent report from Capgemini mentions that 83% companies have already created new Artificial Intelligence jobs
- LinkedIn has reported that two fastest-growing new jobs in the U.S. are machine learning engineers and data scientists
As organizations continue to adopt AI, they need people who can build and train the intelligent systems. So, several new positions are getting created in the AI space. Machine learning engineers, data scientists, business intelligence developers, computer vision engineers, software engineers, robotic scientists, and research scientists are sought after professionals by these companies. People in these positions draw high salaries too.
If you have set your sight on breaking into this field, then you need to pick up artificial intelligence skills. Here are top three in-demand AI skills that can help you land an artificial intelligence job.
Machine Learning: Machine learning is giving computer systems the ability to learn from data. It is all about developing and implementing algorithms that learn and continue to learn from new data, and develop ‘intelligence’ over time. The ability to build a powerful machine learning algorithm or implement an existing one, comes from deep understanding of algorithm theory, and familiarity with popular machine learning algorithms, libraries and frameworks.
Programming: Python, R, Java, C++, LISP and Ruby are some AI development languages. Among these, Python is prevalent because of its simplicity, versatility and portability. R is a good choice because it is tailored for statistical computing and data mining. Java is popular for its extensive variety of library and tools. The speed of C++ is an advantage to the time-sensitive AI programming projects.
Big Data: Big Data is an enabler of artificial intelligence. Artificial intelligence, Machine leaning, Deep learning and Neutral networks are all algorithm based.
Big Data provides the data necessary to train the algorithms. When AI algorithms are fed data sets, they analyze and interpret the data to identify patterns and predict outcomes. Every time they are exposed to new data, they evolve to accommodate the new findings.
Hadoop, Pig, Hive, Spark, and MapReduce are some of the Big Data platforms and tools.
How to get an Artificial Intelligence job?
Here are five things you should do to upgrade your skills and improve the chances of getting a job in artificial intelligence.
- Pursue a course: There are several online courses that can help you learn artificial intelligence, machine learning, deep learning, programming languages and Big Data. Whether you are a fresh graduate who wants to learn about the field as a whole or an experienced IT professional looking to upgrade your skills, you can find courses that match your requirement.
- Hone your skills: Participate in hackathons, coding competitions and similar meet-ups where you can showcase your skills and learn from others. Get associated with organizations like DataKind that allow you to work on new data.
- Develop business acumen: The technical developments and the results of AI models should translate into new opportunities for growth, and business process optimization. To enable this, you should develop business acumen and domain expertise, along with strong technical skills.
Look out for opportunities: AI is a multi-disciplinary field. It is undergoing a great deal of advancement every day and creating innumerable opportunities. So always, keep a lookout for experiences and opportunities both within and outside your workplace.
