Artificial Intelligence is a term we’re hearing more and more of. It’s undeniable that artificial intelligence or AI and Machine Learning is taking over and becoming a part of our daily lives, from our entertainment and social interactions right through to the world of work. Experts predict that artificial intelligence will bring businesses into the next generation, and revolutionise data management, enhancing the overall customer experience. According to McKinsey research, AI could potentially deliver a 22% boost to the UK economy by 2030.
As it’s a relatively new technology, it’s often challenging for recruiters to find top AI and Machine Learning talent. It’s challenging to find people with the skills and experience that businesses need to succeed in artificial intelligence when the field is still so new.
AI is a complex network of algorithms that think like a human brain; it means a computer system can almost mimic human behaviours. Machines, like us, can learn from past data and actions, making corrections to itself so that the problems don’t resurface and learning from mistakes. This means that machines can perform human-like tasks.
To help you better understand what AI Engineers do and whether they can help your business, we’ve put together a guide.
What is an AI Engineer?
AI and Machine Learning engineers are responsible for building and testing AI models within a business. They move between traditional software development, advanced data management, and managing the unique needs of AI learning. An AI engineer writes complex algorithms to help machines learn and react to data. However, they also screen for problems, maintain the systems, and continually improve so that AI and Machine Learning systems can continue to function and gain intelligence.
What does an AI/ ML Engineer do?
AI and Machine Learning can have many business purposes, and as it grows in popularity and sophistication, we can only expect this list to increase. However, to help you gain a better of understanding of the role of AI within a business, here are just some of the things an AI engineer can help with:
Improve customer service – from using virtual assistants to provide real time support to personalise the customer experience through recommendations and previous data; an AI engineer can improve your customer service.
Optimise logistics – businesses currently use AI-powered image recognition tools to monitor and optimise infrastructure. One example is helping to plan transport routes.
Automate workflow– AI can automate production lines by integrating industrial robots into your workflow.
Prevent outages – from detecting security breaches to identifying potential outages and glitches in systems; AI can ensure business is not disrupted.
Predict performance – AI can help determine when you will reach specific goals, aiding performance monitoring and planning.
Predict behaviour – analyse online behaviour to personalise offers and recommendations, detect credit card fraud or target appropriate adverts improving marketing activity
Manage data – AI can help you interpret data more efficiently and provide meaningful insight into your business workings, staff or customers.
What industries do AI Engineers work in?
In healthcare, AI is empowering medical professionals to deliver a better quality of patient care. Most notably, it has paved the way for virtual consultations and apps for patients to review symptoms. Meaning that doctors can see more patients and patients get the appropriate level of care with instant answers. In healthcare, AI is also used for automating tasks from data management of medical records to even the use of robotics in surgery.
In education, different AI algorithms and platforms are used to help people learn through alternative methods. Fusing technology with neuroscience research, education apps can create personalised learning plans for each student.
In the automotive industry, autonomous vehicles are the future. They can save time, limit energy consumption, and reduce the more than 1.25 million road traffic accident deaths each year. AI enables vehicles to understand their immediate environment and navigate it safely; our client Motional is a great example.
AI is also revolutionising bioscience by empowering researchers to conduct experiments more efficiently and use data science to find alternate patterns. Scientists can use AI to predict which chemical compounds will cure a particular symptom or disease, accelerating life-altering medicines.
In marketing, AI helps with data analytics, responsive advertising, and creating more intelligent campaigns from altering the adverts to render correctly on each device to personalising content and even enhancing digital marketing’s targeting capabilities.
In retail and e-commerce, AI can help prevent cart abandonment (resulting in more sales), personalise the entire shopping experience through recommendations and personalised content, and virtual and instant customer assistance.
In recruitment, AI is often used to enhance the candidate screening process, helping companies remove bias and improve diversity and inclusion. It can also assist with sourcing, using data to source and match candidates for each role allowing recruiters to find even passive candidates.
In finance, as much as 49% of the leading businesses have a detailed AI strategy in place. It allows companies to advise customers based on spending habits and build more detailed credit models and predict many changing cashflow events in advance.
Why should you hire an AI Engineer?
Machine learning and artificial intelligence are still developing as skills, but they can significantly impact an organisation’s overall success. Using these models and data analytics, they can provide valuable recommendations and insight into future issues or decisions, revolutionising the business’s future.
If you want to keep up with personalisation in customer service, advances in technology, or advanced data management, AI Engineers can help. Artificial Intelligence is only set to become more advanced and a more crucial part of daily and business life. Servion Global Solutions predicts AI will power 95% of all customer interactions by 2025 and 90% of new enterprise apps. Hiring an AI engineer sooner rather than later will allow you to access the best talent and get to grips with this new technology before it becomes an integral part of operations.
What qualities should you look for when hiring an AI Engineer?
When hiring for an AI Engineer, a background in mathematics and statistics is essential and experience in software development and writing complex algorithms. Knowledge of coding language and complex data analytics is vital.
AI engineers need to learn quickly, as they have to teach the machines to adapt and respond to change; constant learning is key to staying one step ahead. They also need good communication skills; they must be a bit of a project manager, ensuring that the company goals match up with what’s being built.
Ideally, AI engineers should also be both curious and creative. They should be able to think of innovative new uses for AI and be able to make sense of abstract data and transform it into something useful. Problem-solving is the foundation of AI in all industries; the very nature of artificial intelligence is to improve processes and enhance experiences.
Talent Works specialise in finding top tech talent, including AI and machine learning engineers, to help companies grow and innovate. Through direct sourcing, digital recruitment marketing and talent attraction strategies, and building employer brands that cut through the noise and resonate with the tech market.
We’re a flexible RPO agency with offices in Manchester and Northampton in the UK as well as Boston, US giving us a global approach to tech recruitment. To find out how we could help your business find and connect with top AI and Machine Learning engineers, start your conversation.
