What kind of AI jobs are there?

AI jobs – work using or developing Artificial Intelligence – are growing in number as well as desirability.

The AI revolution seems to be in full swing (at Ernest Gordon, we even use a proven AI recruitment tool to match candidates with the best IT jobs).

And even if some AI creators’ claims are still a bit ahead of the technology’s capabilities, the future of the industry looks very exciting.

If you are looking for a job in AI, it’s certainly a good time for it. We’re still in the early years of the technology, so you’re getting in on the ground floor.

There are also many different kinds of AI jobs that can appeal to different sorts of people. So, which of these appeals to you?

What kind of AI jobs are there?

1) Machine learning engineer

Machine learning engineers are involved in developing the Artificial Intelligence technologies themselves.

With this as your role, you will be researching, developing, improving – or possibly maintaining existing – AI tools.

On a day-to-day level, you might be writing code, running tests, analyses, and experiments on it, or working with data scientists to improve the output of any AI algorithm.

2) AI engineer

AI engineers are employed by organisations to determine how they can best employ AI systems and services to achieve results that benefit the organisation as a whole.

As an Artificial Intelligence engineer, your job would be to suggest the business case for using certain AI tools, manage any risks of doing so, or improve the way Artificial Intelligence products your company uses work in combination with its business processes.

In some industries and with some tools, this might include better “training” the algorithm on relevant data. Both statistical and neural-based approaches to machine learning rely on this data.

For example, in the language service industry, AI translation tools need to be trained on two parallel sets of data – one for each language being translated between. This data needs to include vocabulary relevant to the industry in question if the resultant translation is to be of any use.

Any improvements to these tools that AI engineers make can create potentially huge savings in costs and productivity enhancements for their organisation.

3) Data scientist

It might be unsurprising to learn that someone with a data scientist job works with data! However, the variety of things they do with that data can be good to underline.

On one level as a data scientist, you might help to create a predictive model that can determine patterns in everything from the weather to sales to the outcome of particular events.

Somewhat similar to an AI engineer, you may also be working with machine learning tools to improve their relevance and value to your organisation.

In general, you will be seeing what any given data “says” and the questions that your organisation can most usefully “ask” it, often to gain commercial advantage.

4) Data engineer

It is the job of a data engineer to make data more accessible to others who might use it. This might include:

-Data scientists

-Business analysts

-Individuals or teams within an organisation

Much like data scientists and AI engineers, you will find data engineers in almost every sector of the economy these days, from banking and finance to the charity sector.

As a data engineer, your role will include building the systems that collect, refine, or display data for the people who need to view or use it.

5) Software developer or engineer

In the field of AI, software developers and software engineers build, improve, maintain, and test applications that are based on or link with AI platforms.

In high-flying start-ups and established companies of all sizes, software developers and engineers are in growing demand across every industry too.

How to get a job in AI

With the current high demand for the right talent, getting a job in AI – or in Information Technology in general – has never been easier. But that isn’t to say you don’t need to demonstrate your relevant skills or experience.

For entry-level positions in some fields of IT, it’s possible you might be able to compensate for lesser technical skills with soft skills and other relevant experience, at least to a degree.

This is less the case with AI though. You will often need a bachelor’s degree – common options are mathematics or computer science – to get your foot in the AI door. The alternative is completing one of the many courses that are out there.

If you have recently graduated or you do have the skills though, this is an exciting time. Because AI is currently affecting the IT jobs market mainly by creating more opportunities for everyone.

Want to see what AI jobs are out there for someone with your skills?

Let’s talk. Ernest Gordon is a specialist IT recruitment agency. Our proven, open, honest, and transparent process ensures you are matched with the ideal employer.

Reach out to us today for a cost and commitment-free chat about your career plans.