CODING THE FUTURE

The age of AI is here, and engineers are going to play a crucial role in navigating us through it

Robot whisperers wanted!

Check out these top five careers that integrate robotics and AI in engineering:

1Chatbot engineer: Develop and maintain AI systems that mimic human conversation. You’ll need strong skills in coding and natural language processing.

2Machine learning specialist: Enjoy solving puzzles? In this job, you’ll be teaching computers to learn from data – think advanced algorithms and statistical modelling.

3Automation engineer: In this gig you’ll design, program, simulate and test robotic machines. Get ready to learn about system integration and industrial control systems.

4AI educator: Help others understand complex AI concepts. Strong communication and patience are key.

5Process change engineer: You’ll look at how robots can improve existing systems and need a keen eye for detail and problem-solving skills.

Did you know?

Revenue in Australia’s robotics market is projected to reach a hefty $860 million in 2023, and the future is even brighter. By 2027, that number is expected to climb to $1 billion thanks to a steady growth rate of 3.9% every year.

Future job alert!

Here’s a glimpse of a possible future role that doesn’t (quite) exist yet...

The job: Prompt engineer What is it? A prompt engineer could design and fine-tune the prompts given to AI systems (such as OpenAI’s ChatGPT and Google’s Bard) to get more accurate, helpful and appropriate responses.

Skills: This job might require a mix of linguistics, computer science and even psychology or sociology. You’ll need to understand not just human language, but also how computers can best mimic it. Who’s hiring? OpenAI, Microsoft and Google are the obvious ones, but the list will grow.

What’s ChatGPT and who built it?

Heard of ChatGPT, the latest big thing in AI, but not sure what it’s all about? Who better to ask than the AI itself!

AI-generated response: Hi, I’m ChatGPT! I’m a product of OpenAI, a sophisticated AI system designed to mimic human-like text. It took a team of diverse engineers to create me. Software engineers worked on my coding, while machine learning specialists taught me to learn from billions of sentences. Natural language processing engineers helped me understand and generate human language. And data engineers managed the massive amounts of data I was trained on. I’m a perfect example of what a career in robotics and AI might lead to! – Gemma Chilton