Tag: Artificial Intelligence

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Data & Business Intelligence Job Descriptions

AI expert: Job description

AI expert job description
AI expert job description

Use our template to create a compelling and comprehensive AI Expert job description to attract top talent.

Certainly, artificial intelligence (AI) is already part of our daily lives (personal assistants, smartphones with facial recognition, etc.) and it is becoming increasingly important in the business world, with numerous technological applications (chatbots, maintenance of installations, etc.). In this AI expert job description you will find everything you need to know about the AI expert job, required skills, training, education, and salary expectations.

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AI expert: the job

Technical skills

What is the role of the artificial intelligence expert?

The main task of the Artificial Intelligence (AI) Expert is to design computer programs capable of performing tasks similar to those performed by a human being. Both a researcher and a computer scientist, an AI expert can work in a wide range of fields.

Keeping a constant watch

The mission of the artificial intelligence expert is to solve complex problems. Research and analysis are therefore at the heart of the job. The AI expert must possess very advanced computer skills, as his or her expertise is constantly sought in the development of artificial intelligence projects. Since AI is still a relatively new field of expertise, the AI expert must constantly keep abreast of technological developments.

Understanding and analyzing problems

Since the role of the AI expert is to create software that mimics human reasoning, the expert must be able to analyze the human brain in relation to a problem and thus develop intuitive human-machine interfaces.

Developing and designing solutions

The AI expert can work on extremely diverse and varied projects. His or her day-to-day tasks are generally algorithm design, error checking, and programming.

Required skills of the AI expert

AI expert required skills

Strong technical skills

The job of Artificial Intelligence Expert requires advanced technical skills because AI-based applications cross many technologies (web crawling, data mining, data science, machine learning, deep learning, etc.).

Strength of proposal, and ability to listen

As far as soft skills are concerned, the AI Expert must show a strong spirit of initiative, interpersonal skills, and good listening skills. Since these qualities will enable him/her to carry out his/her projects successfully, communicate with all stakeholders, and call on external experts.

Ability to work in a team

To conclude, research in Artificial Intelligence is definitely not a solitary job. In fact, the AI Expert will have to work with various experts and will have to know how to federate these experts and listen to their advice to make progress in his research.

Also discover the differences between Business Intelligence and Big Data

Context

AI expert context

Expertise in Artificial Intelligence is very rare and therefore highly sought after. As a researcher and computer scientist, the AI Expert is highly qualified and can work in different fields of activity. Such as in ESN, in industrial companies, in research laboratories…

Salary

AI expert salary

The average daily rate of an Artificial Intelligence Expert is between 700 and 1500€.

Training and education

AI expert education

To become an Artificial Intelligence Expert, you need to have a 5-year degree. You can enter this profession by having studied mathematics or computer science. However, you will need to continue your education and obtain a master’s degree or an engineering diploma. A specialized master’s degree or even a doctorate.

After years of research and a lot of work, an AI expert can easily move on to new projects and join innovative start-ups in R&D, large companies, or research centers.

You can also read : 20 AI Experts You Should Follow

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10 Top AI Experts in the UK to Follow Online

Here are 10 of the top AI experts in the UK to follow
With AI evolving so rapidly, it can be hard to keep up with new developments. This list of top AI experts in the UK will help you stay in the know.

With artificial intelligence evolving so rapidly, it can be hard to keep up with new developments, best practices and the industry’s overall state of the art. For this reason, we at Mindquest suggest you this list of top AI experts in the UK that will help you stay in the know and future-proof your career in AI.

You can also read 5 Online Courses to Get You Up-To-Speed with AI and AI expert: Job Description

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Top AI experts in the UK to follow

As the IT environment is constantly evolving, it is crucial, if not necessary, to connect with the brightest minds to keep up with innovation. In other words, the more contacts you get, the more likely you are to solve IT challenges. Therefore, we at Mindquest to provide you with a list of the AI experts in the uk to follow.

Disover A Career in Data Science: Unlocking The Power of Data with AI

Tabitha Goldstaub

Twitter | LinkedIn

To start, Tabitha is the co-founder of CogX, the chair of the UK Government’s AI Council and an advisor for The Alan Turing Institute. She is also the author of How To Talk To Robots: A Girl’s Guide to a Future Dominated by AI.

Rob McCargow

Twitter | LinkedIn

To continue, Rob is the director of AI at PwC UK and a champion for the responsible use of technology and AI. He is also an advisor for the IEEE and the UK’s All-Party Parliamentary Group on AI and a TEDx speaker.

Sarah Porter

Twitter | Linkedin

Then, Sarah is the founder and CEO of InspiredMinds, a global community and strategy group focusing on the use and development of AI for good in line with the UN’s sustainable development goals.

Yarin Gal

Twitter | LinkedIn

Let’s go on with Yarin, an Associate Professor of Machine Learning at the University of Oxford’s Applied and Theoretical Machine Learning Group, helping produce groundbreaking work like this set of Bayesian Deep Learning benchmarks.

Elena Sinel

Twitter | LinkedIn

Elena, on the other hand, is the founder and CEO of Teens in Ai, a global initiative launched at the UN’s 2018 AI for Good Global Summit and that seeks to inspire the next generations of ethical AI researchers and practitioners.

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Danilo Rezende

Twitter | LinkedIn

Danilo, then, is a Senior Staff Researcher and lead of the Generative Models and Inference group at DeepMind, London. His research focuses on scalable inference and generative models for decision-making and hard science problems.

Allison Gardner

Twitter | LinkedIn

Next, a lecturer and data science apprenticeships program director at Keele University, Dr Allison Gardner is co-founder of Women Leading in AI, which brings together AI and business leaders to discuss the future of AI. 

Edward Grefenstette

Twitter | LinkedIn

Further, Edward is Research Scientist and RL Area Lead at Facebook AI (FAIR) and an Honorary Professor at the Deciding, Acting, and Reasoning with Knowledge (DARK) Lab at the UCL Centre for AI.

Wendy Hall

Twitter

Then there is Wendy Hall, a Dame Commander of the British Empire (DBE) and a champion for UK AI skills and women in science. She is Chair of the Ada Lovelace Institute and joined the BT Technology Advisory board earlier this year.

Ankur Handa

Twitter | LinkedIn

Last but but not least, Ankur is a Robotics Research Scientist at NVIDIA AI and a Research Scientist at OpenAI working at the intersection of computer vision and control for robotics. He did a post-doc at Cambridge University and has a PhD from Imperial College London.

Do you have any other AI experts in the UK who should be featured in this or future lists? Shoot us an email.

Also discover our articles 10 of the Best Software Developers in the UK to Follow Online

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Weekly News: Online Traders Hit Wall Street

Here’s what happened this week in IT news.

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Amateur traders take on Wall Street’s old guard

The Internet can be a fascinating place. And especially Reddit. Mix online stock trading with a pinch of cancel culture and a good amount of memes and, boom: a bunch of Wall Street big shots lose millions in a matter of hours. 

Retail investors using low-cost, online trading platforms like Robinhood organised through the ‘WallStreetBets’ subreddit to do something they had been wanting to do for a while now: get back at hedge funds and other traditional investors who make money by betting on failing companies (aka shorting).

These amateur traders, who see themselves as part of a new wave of anti-establishment investors, went on to inflate the stock price of GameStop, a now-failing American brick-and-mortar videogame store. Wall Street had borrowed many of the company’s stocks, sure these would go down in price and they’d be able to make a profit upon returning them. 

Ouch. Certainly a clear reminder of the power that the virtual world can have over the real one.  

BBC

Davos goes virtual

Like pretty much any other large event whose organisers sport a bit of common sense, this year’s gathering of the World Economic Forum is being held fully online. Its focus this time around? Surprise, surprise. You guessed it — pandemic recovery. 

Specifically, the organisation consulted world business leaders ahead of the start of the talks conference talks about how technology should be used to help reset our society, economy and business environment.

Cloud and collaboration tools to strengthen community ties and help us predict and address health crises. Accelerated digital transformation to keep improving business models and ultimately people’s lives. Widespread use of AI to automate repetitive tasks and allow businesses to focus on adding real, high-end value. 

The underlying theme: prioritising the common good. 

World Economic Forum

A five-year timeline for AI in the enterprise

A newly published Gartner report aims to do something at which most tech predictions tend to fail: getting too specific with the time estimates.

The study looked at the unintended ethical and social repercussions of AI adoption and then provided recommendations on what business should do to address them. 

By 2025, our world could look quite scarier than it does today in terms of privacy and cybersecurity. Large-scale AI models will be concentrated in the hands of 1% of vendors. Deepfakes will be so common companies will have to conduct regular employee trainings on how to spot them. About 75% of workplace conversations will be analysed to add organisational value and assess risk.

Learn more about AI: 5 Online Courses to Get You Up-To-Speed with AI

The most obvious routes for businesses to take include setting up ethic boards at companies that sell or use AI and establishing guidelines for responsible AI consumption.  

TechRepublic

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Weekly News: The Funny Side of AI

Weekly News: The Funny Side of AI
We are often discussing the dangerous implications of AI: bias, job losses... So it's refreshing to be able to talk about the funny side of AI.

We are often discussing the dangerous implications of AI and what we can do to address them: bias, job losses… So it’s refreshing to be able to talk about its more benign side effects. Discover the funny side of AI.

3 stories to discover the funny side of AI

Football or bald head?

Do you enjoy football? How about bald heads?

Since the start of the pandemic, the world of sports has had to forgo live audiences in favour of live streamings. Bigger teams and leagues can afford proper TV crews to cover their matches, but smaller teams need to be more creative.   

A football team in Inverness, Scotland decided to use an AI-enabled camera to track the football’s movements. Unfortunately, and to the delight of the whole world, the camera tracked the referee’s bald head instead of the ball. Best match ever.

TNW

IT Job Hunting Done Well: A Step-by-Step Guide

What drones are really for

Few technologies have received as much public hype as drone technology. We all have a friend who enjoys chasing flocks of sheep with their little quadcopter. If you don’t, then you might be that friend.

But what are drones actually good for?

The non-consumer applications that first come to mind tend to be rather pessimistic. Surveillance, warfare… There is an understandable trust deficit when it comes to drones, but the technology’s potential is huge if we manage to overcome it.

From humanitarian aid in dangers zones to remote delivery and agriculture, drones can be extremely helpful in helping us get where we need to get more easily and in time. 

TechRadar

Funny side of AI: Game over for 1809

Microsoft is discontinuing service for Windows 10 version 1809 starting on November 10, so make sure all your systems are upgraded accordingly.

The cut will affect Windows 10 1809 for Home, Pro, Pro for Workstations, and IoT Core, which will stop receiving security updates and support.

Support for Windows 10 1803 for Enterprise, Education and IoT Enterprise will be extended until May 2021, as will the Enterprise and Education versions of 1809.    

TechRepublic

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Read our article: AI, IBM Chips, and a Novel Cloud Security Concept: The Week in Tech News

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Weekly News: The Rise of The Machines

Weekly News: The Rise of The Machines
Due to the rise of the machines, new jobs will emerge, especially in the areas of healthcare, big data and the green economy.

Weekly news. Discover our news about IT: the rise of the machines, Bitcoin goes mainstream and Robin Hood strikes back

The rise of the machines

New report by the World Economic Forum (WEF) has forecasted that as much as half of all work tasks could be handled by machines by the year 2025. The rise of machines.

The think tank’s research, which spanned 300 of the world’s biggest companies, estimates that the so-called “robot revolution” will create 97 million jobs around the globe but destroy almost as many. 43% of respondents felt they were likely to cut jobs due to technological transformation in the near future.

Yet new jobs will emerge as a result, especially in the areas of healthcare, big data and the green economy. However, the Forum is calling for a conscious effort to ensure that no sectors of society are left behind.

BBC

Bitcoin goes mainstream

PayPal has announced that it will start allowing transactions in Bitcoin. The firm will also provide support for other cryptocurrencies including Ethereum and Litecoin.

The new features, which will debut in the U.S. shortly and worldwide next year, mark an important milestone in the normalisation of cryptocurrencies. 

The company sees the economy’s shift to digital currencies as inevitable, and it is committed to helping make them easier to use by the broader public. 

TechRadar

Robin Hood strikes back

A new emerging trend has cybersecurity and legal experts baffled: charitable cybercrime.

Also read our article & discover our interview: Leadership Failure: The Real Human Element Behind Cyber Attacks

The ransomware-as-a-business group DarkSide introduced itself to the world earlier this year, issuing a press release where they detailed how they picked their victims and pledged to leave non-profits, healthcare and governments alone. 

Well – these cybercriminals with a strong moral code are now taking it to a whole new level: they are donating their profits to charities.   

Two US-based organisations received equal payments of 0.88 bitcoin (or $10,000) in mid-October, money they say they will return as soon as possible. The authorities are warning NGOs around the globe to not accept donations from these cyber schemes, as that would make them legally liable for profiting from crime.  

ComputerWeekly

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20 Amazing Women Leading Europe’s Tech Revolution

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Weekly News: Artificial Intelligence, Minecrafting the Real World

IT news

Since 2018, the Generative Design in Minecraft (GDMC) competition challenges participants to push the limits of artificial intelligence and come up with realistic cities from scratch.

If you are unfamiliar with Minecraft (I doubt it), the cube-based video game lets players build all sorts of structures with almost absolute freedom. In other words, cubic freedom.

Participants must leverage a combination of various Artificial Intelligence techniques in Minecraft to level terrain, build roads and bridges and erect buildings. It is a very complex task involving everything from path-finding algorithms to machine learning, but it’s starting to come together. 

Surely the technology is still years away, but it looks like city planners and designers will soon have a new digital partner for their construction projects.

Your future apartment building might well be designed by an AI architect. At least parts of it.

Racist Artificial Intelligence strikes again

And speaking of artificial intelligence I, yet another poorly trained algorithm has put yet another Internet giant in serious trouble. This time it was Twitter’s turn. 

Have you ever wondered how the platform decides what parts of a picture to crop in preview mode? It is, of course, an image-cropping algorithm. Using a combination of tools, Twitter tries to prioritise faces and text, unless your face is black. 

Ironically, the issue was discovered when a PhD student was trying to tweet about another racially-biased algorithm he had encountered on Zoom. The videoconferencing service had erased the image of his black colleague after failing to recognise his face. Twitter decided that wasn’t enough and erased his colleague from the screen capture too. 

Although the company was quick to apologise for not testing the algorithm thoroughly enough, Twitter feeds quickly filled up with people doing experiments to test the flaw. Some even tried posting images of differently coloured dogs. 

Time for lessons to be learnt.

Announcements from Microsoft Ignite

Microsoft has kickstarted its annual Ignite user-focused conference by announcing a series of additions to its cloud and productivity portfolios. 

Teams is getting new security and compliance-related features, as well as a suite of new tools to help companies better support remote workers. The latter are mainly data insights to assess the overall wellbeing of employees, made available to users and managers to help them improve productivity and reduce burnout.

The company has also teased Virtual Commute, an upcoming Teams functionality aimed at helping workers unwind after a long day of work. Hmm, how about not being on Teams after working hours to start with?

Plans to expand Azure Stack’s hybrid cloud capabilities have also been announced. The platform lets businesses run public cloud-like workloads within on-premise data centres. Users will be now able to run and deploy containerized applications on the setup, while the Azure Stack Hub will incorporate GPU support for broader machine learning capabilities. 

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5 Online Courses to Get You Up-To-Speed with AI in 2023

Here are five online courses to get you started with the AI skills IT professionals so need to stay on top of their career game

Spoiler alert: Artificial Intelligence is the future of work. Or at least part of it. This is not to say that everyone will become an AI engineer. But in just a few years from now, a large part of job positions will require or reward AI skills that help employees be more efficient and dedicate themselves to higher-level tasks. Especially in areas like IT, where human error can have dire consequences. So what online AI courses are best to get you up-to-speed with this booming discipline?

AI has experienced a major explosion in popularity in recent years, becoming one of the fastest-growing roles in job markets across the world. Indeed, just at the beginning of the 2020, a LinkedIn report identified AI-related skills as the fourth most in-demand skills group among employers. And that was before the pandemic set in.

Since then, Artificial Intelligence has emerged as a compelling choice for students and professionals who want to keep up with innovation and trends. Analytics Insight points out very good reasons to study AI in 2023.

Bottom line: believe the hype. It’s about time you put on your AI boots if you still haven’t done so. Here are five courses to get you started that touch upon some of today’s core AI skills.

Find your next assignment on our freelance and permanent IT recruitment platform, or join Mindquest so you don’t miss out on any job opportunity!

1. Online AI courses : the basics

Artificial Intelligence

Firstly, how comfortable would you feel explaining to someone the difference between AI, machine learning and deep learning? What comes to mind when you hear the words ‘neural network’?

If you are not quite sure, start with the fundamentals. This Coursera course by IBM provides a good introductory overview of artificial intelligence and its many aspects:

2. One of the most popular online AI courses : Python

Python

Python is to AI what English is to Shakespeare’s plays. Thus, this nimble yet powerful language is one of the most popular among programmers and engineers, and, if you haven’t gotten around it already, well – you should.

This course on Udemy kicks off with a Python crash course and then gets into its data science and machine learning applications, covering the most widely used Python libraries and tools for AI (NumPy, Pandas, Matplotlib…):

Need tips on how to find a job in IT? Check out our IT job hunting guide.

3. Machine learning

Machine Learning

In essence, machine learning is the use of algorithms to process data, learn from it and then act according to these learnings. Machine learning allows computers to autonomously learn and improve processes and assessments through experience, without being explicitly programmed beforehand. It’s pretty much ubiquitous these days –from your phone’s predictive keyboard to web searches.

This course by Stanford is a good starting point:

4. TensorFlow, neural networks and deep learning

TensorFlow

Moreover, developed by Google Brain Team, TensorFlow is an open-source library for numerical computation with powerful AI capabilities. TensorFlow is Python-friendly and is currently one of the most in-demand AI skills.   

This video offers a great hands-on introduction to building neural networks with TensorFlow:

The course requires previous Python literacy, so you should not jump into it before learning the language.   

5. Natural Language Processing (NPL)

Natural Language Processing (NPL)

Last but not least, NPL is a branch of artificial intelligence that focuses on analyzing, understanding and producing human language. It is an integral technology to many everyday features of the digital economy, from autocorrects to chatbots.

This Codecademy course provides a practical and project-based introduction to NPL:

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Weekly News: How brain-like should AI be?

Weekly News: How brain-like should AI be?

How brain-like should AI be? Cloud and clear, Microsoft… News from the frontlines… Discover our Tech & IT weekly news.

How brain-like should AI be?

What constitutes intelligence and how do we replicate it? Computer experts and neuroscientists have long been after a universal theory of intelligence. The idea is simple — the more we understand how the brain works, the better our AI will be.

Well, not exactly. 

Kelly Clancy, a neuroscientist working with Google’s DeepMind, delves deep into the issue in this WIRED article. Her main point? Two different roads often lead to the same place. 

AI developers should keep in mind that what works for our brain might not work in machines, and vice versa.

Not enough AI in your life? Here’s a list of books on artificial intelligence that you can read.

Learn more about Microsoft with our Microsoft Technologies Careers Guide

Cloud and clear, Microsoft

Speaking of AI – during its annual Built conference, Microsoft unveiled a new partnership with OpenAI to develop an Azure-hosted AI supercomputer.

The computer will be among the 5 most advanced supercomputers in the world. It will be deployed to test large-scale models and advance towards general artificial intelligence.

Microsoft also announced its first industry-specific cloud offering for the healthcare sector. The solution, which is now available in public preview, connects products like Microsoft 365 for marketing and customer service and Azure IoT. 

Use cases include the development of a “patient journey” that helps manage patient care and maximises positive outcomes.

News from the frontlines…

One more week means one less week until things start looking normal again. This is what the tech world is doing to help in the fight against COVID-19…

If the pandemic has taught us anything about retail IT is that, unlike larger companies, SMEs don’t always have the means to shift to digital operations when needed. In what is big news for e-commerce, Facebook has launched Shops, a new service that will allow companies to sell products on its platforms.

The debate over the effectiveness of contact tracing technology rages on. Industry competitors and researchers are teaming up against all odds to create apps that respect user privacy, but poor adoption could undermine all these efforts. Nature magazine takes an in-depth look at the issue. 

Plenty going on with tech these days. Even Microsoft’s CEO, Satya Nadella, used his keynote speech at this year’s Build to congratulate the tech industry’s response to the global crisis.

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AI for recruitment: How AI will allow recruiters to focus on people

IT Contractors: How to Manage Your Activity in This Unprecedented Period
The dual health and economic crisis we are going through creates a particularly high level of uncertainty and instability. How to manage your activity?

AI for recruitment. AI penetrates all areas and promises tremendous gains in efficiency, speed and performance. There has been a lot of media buzz lately around its recruitment applications. What long-term impact will AI have on the staffing industry? Used well, these new technological tools will allow recruiters to focus on their added value and; paradoxically; make the recruitment of the future more human.

AI promises in automation

For the past twenty years, we have witnessed an ever more extensive and efficient automation of the recruitment processes. These developments are built upon extremely complex analytical models. Defining and anticipating the skills that the company needs, identifying the most suitable talent and ranking candidates based on precise job criteria are processes that require taking into account many variables.

Moreover, through its ability to consider contextual elements as rich as they are varied, artificial intelligence promises to make this level of automation a reality. In a field like IT recruitment, where time is of the essence, being able to quickly match candidate profile with company requirements is a decisive advantage.

Artificial intelligence in IT recruitment

In the recruitment of IT freelancers, for example, AI makes it possible to process very quickly huge volumes of data linked to the profiles of candidates. Previous gigs, areas of expertise and preferred sectors, years of experience… But also exogenous data such as the candidate’s place of residence and travel times. AI also makes it possible to analyze the quality and interest of the positions offered. Helping identify the types of projects that are most promising in terms of career development.

Furthermore, considering elements linked to quality of life or to the characteristics of the offer maximises the chances of success of an investment; by making it possible to identify profiles with high potential and that are likely to be interested in the mission.

AI for IT recruitment: Towards an uberisation of recruitment?

AI’s capabilities are making great strides in matching supply and demand. Hence the emergence of fully automated solutions, of players who “platformise” recruitment. Which bring about a vision of recruitment as an almost exact science.

This vision would like technology to replace human appreciation entirely; thus putting an end to the recruitment profession and replacing it with ever more sophisticated and intelligent algorithms.

But this vision is implausible. Recruiting is not just a science, it is also an art.

IT recruitment: the human touch

In recruitment more than in any other field, the human being occupies by definition a central role. Soft skills, matching the values ​​and culture of the company, and compatibility with other team members… They are all key factors for a successful placement. As much as the level of education, years of experience, references or results obtained in a technical test. And yet, these are all parameters that an artificial intelligence can never assess as well as a human.

Even more so when we talk about recruiting for high-level positions. It is hard to imagine choosing a CIO or an Innovation Director via a fully automated process. Neither the candidate nor the company would subscribe to it.

Discover 5 Online Courses to Get You Up-To-Speed with AI

From artificial intelligence to augmented intelligence

It is really a question of going beyond the dialectic “all digital vs. all human”. Recruitment professions must integrate AI and make the most of it as a tool for human decision-making. And thus allow the business to refocus on its true added value.

AI involves a real qualitative leap, reducing the risk of error and saving unprecedented amounts of time. AI will certainly replace humans on certain tasks, but mainly in repetitive and boring tasks. It increases the performance of the recruiter by allowing faster and more targeted searches. And thus optimizes time and communication with the candidate. Far from dehumanizing the relationship, AI, on the contrary, allows us to focus even more on humans.

Artificial intelligence for recruiter: the next level

This is good news for recruiters. These new tools will allow the profession to gain new levels of recognition, with richer and more interesting daily tasks. Also, it will give us the ability to understand the needs of the company in terms of skills. To create a stronger connection with the candidates. As well as to understand the aspirations and constraints of each party involved.

It is also and above all good news for candidates. Because recruiters will be able to devote more time to them and offer them a better experience. Firms will be able to enrich their service offer with more support. Especially in the key stages of onboarding and taking of office of the selected candidate.

It is, therefore, the human-machine association, the combination of artificial intelligence and emotional intelligence. That will revolutionise recruitment and put people back at the heart of the processes. We may no longer be talking about Artificial Intelligence, but augmented Intelligence.

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