Jobs in AI: Future-proof your career with Artificial Intelligence

The future is Artificial Intelligence and experts in the field predict that the coming years will see a significant pervasion of robotic innovation in all major sectors like healthcare, education, labour intensive industries, construction and other related industries. 

This means an increased demand for professionals who want to work in the field of Artificial Intelligence research and development. According to an international survey, the number of job postings in the field of Artificial Intelligence is up by 192% in the last two years and this number is expected to grow exponentially in the next few years.

If you are someone who is looking to be employed in an AI related designation or desirous to pursue education around Robotics, then this article will give you a head start on how to choose the right path.

Getting the Right AI Education

Being comparatively new, the field of Artificial Intelligence is yet to have a concrete preset of educational qualifications. While you can start off with doing a bachelor’s degree in computer science or relate fields such as mathematics, a further knowledge of computer science coursework, data science, machine learning and advanced computer languages will offer you an edge over your peers. 

Universities are increasingly curating courses with unique disciplines to prepare someone for the world of AI. Specialisations in the following courses are sure to boost your chances of becoming a specialist in Artificial Intelligence.

– Computer science, programming languages and advanced coding

– Cognitive Science Theory

– Bayesian networking including neural nets

– Advanced math including probability, statistics, algebra, calculus, logarithms and logic

– Engineering and Physics

– Robotics

Artificial Intelligence Jobs: Landing the right opportunities

Once you master the basic fundamentals, take time in deciding on the subfields of AI that you wish to pursue your career in. With a bounty of industries gradually turning to automation, there are several designations one can look for. 

Machine Learning Engineer

Being one of the most sought out specialist in the field of AI, Machine Learning Engineers are responsible for building and managing platforms for machine learning projects. They are also expected to be well-versed in multiple programming languages.

Data Scientist

The role of a data scientist is to collect, interpret and analyse complex datasets with the help of machine learning fundamentals to create suitable algorithms that enable the data to be used and modulated to find solutions.

Research Scientist

Research scientists are the most revered in the field of AI. These professionals are required to have extensive knowledge about multiple AI disciplines such as deep learning, computational statistics, machine learning and applied mathematics. 

Big Data Engineer

Big Data Engineers play a pivotal role in designing ecosystems for organisations to communicate, collect data and derive common solutions. They are expected to have a specialisation in applied mathematics, computing systems and softwares.