5 Careers in AI and How You Can Get Started

With the rise in the use of AI (artificial intelligence) solutions continuing to grow apace, one of the significant benefits for those looking to start a new career is the increase in exciting job opportunities with companies looking for AI specialists who can help them to the next level.

Businesses of all shapes and sizes have improved customer service experiences, adding additional services and streamlining many business operations through machine learning (ML) and artificial intelligence (AI). With an incredible 97 million new jobs predicted as a result of the robot revolution expected in the next five years, specialist recruitment consultants such as Agile Recruit are seeing an increase in demand for suitable candidates. Recruitment agencies specialising in Cloud and Data roles are seeing the need for AI, ML and related specialisms at all levels rising significantly, with many opportunities to get started or develop your career in AI waiting for candidates.

Here’s our view of the top 5 roles and the skills that could get you started:

AI Researcher

This role researches how AI technology can be advanced and widely applied in many industries. Understanding and converting large data sets to develop new AI technologies, rather than using the technology itself, is all part of the AI researcher’s role.

Data Scientist

A data scientist will bring to life new methods identified by AI researchers. It’s the chance to apply the solutions identified to work in real-life.

Machine Learning Engineering

Taking the data collated by AI researchers, as a machine learning engineer, you will generate the predictive modelling that spots the gaps the human eye misses by designing self-running systems to automate predictive modelling to achieve greater effectiveness.

Deep Learning Engineers

As a deep learning engineer, you will build AI systems to ensure the transferability of the solution by creating brain-like, human-mimicking thought processes that the robots and AI will use.

Robotic Scientists

A chance to build robots and solve issues that can be performed equally well or better than humans achieve, such as repetitive manufacturing tasks, where robot use supports human activity.

So, it’s clear there are exciting opportunities to develop revolutionary and fulfilling careers in artificial intelligence, machine learning and computer science, from entry-level positions to senior technicians and managers.

Let’s look at crucial skills companies seek in candidates and what you can do to prepare by enhancing your knowledge and experience to progress your career.

Skills for success

AI researcher – critical thinking and brainstorming to identify new methods and approaches. Maths and statistical data analysis to predict AI programming outcomes. Knowledge of tools such as Sketch Engine or RapidMiner is in demand.

Data scientist – programming fluency using Python or similar, understanding how algorithms and frameworks build AI models, and excellent communication and interpersonal skills.

Machine learning engineers – an experience in machine learning packages and computer programming and science fundamentals, alongside personal traits such as strong analytical and applied mathematics skills.

Deep learning engineers – coding ability, good data intuition, and focus are essential for deep learning engineers. Practical experience with software such as Python or similar will help open career opportunities.

Robotic scientists – high-level programming knowledge and innovative thinking skills are seen in the best robotic scientists. Strong computer science and mathematical understanding and being decisive and creative in technology design are essentials.

AI is impacting the future of our work and lives more each day, so you can be confident we will not see the end of new and exciting AI career opportunities any time soon.

The great thing about the whole AI and ML, cloud and data jobs market is the fluidity and newness of many available roles, whereby candidates can find positions based on skills acquired in other sectors. Many skills are considered transferable to open up fantastic career opportunities for many. If this fascinating and progressive career path interests you, a chat with a specialist cloud and data recruitment agency is necessary to get you on the right track.