How to Find a Job in AI?

Do you want to know how to find a job in AI? This is a simple yet most-asked question today. Unfortunately, many AI newbies struggle to find its best answer. 

The hype surrounding new features in AI-related tools, especially Microsoft Bing, Google Bard, and ChatGPT, is intensifying every minute across all business sectors.

The government recently launched an AI investment program called Digital Ireland Framework, which increased the country’s AI talent by 28% between 2021 and 2022. Subsequently, AI-related job opportunities are skyrocketing, meaning you can easily find a job in this field with the right skills. 

This guide discusses everything you need to know before starting your job hunt in AI. So, let’s dive in.

How Does AI Work?

AI is a vast field covering many technologies, methods, and theories. The technology works following two steps. 

• AI combines a good amount of data using algorithms and fast processing.

• Then, it allows the software to learn from features and patterns in the collected data to find a solution. 

AI has many primary subfields, including:

• Machine Learning: This field of learning helps understand and develop methods to help machines learn. As a result, these machines help improve computer performance on some tasks. 

• Deep Learning: This is a machine learning subset. The system copies the human brain's behaviour and helps it learn from a large amount of collected data. 

• Natural Language Processing: Natural Language Processing or NLP is the ability of machines to understand, analyse and generate human speech and language. 

• Computer Vision: This subset of AI uses deep learning and pattern recognition to analyse a video or picture. 

It is safe to say that AI is a vast world with never-ending opportunities. So, to find the right job with significant growth, you must put in some effort. But where to start?

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Finding the Industry or Job That You Want to Pursue

According to Google, the top AI jobs in demand in Ireland are:

1. AI Engineer

An AI engineer develops and implements machine learning solutions in an organisation. Moreover, the expert trains and programs the algorithms that create AI to help machines work like humans.

2. Head of Data and AI Offerings

The head of Data and AI offerings articulates the business value of AI and data. This individual helps blend AI with business strategies, data, and processes to find a balance between technology and various business aspects.

3. Vision Engineer

The main responsibility of a vision engineer is to develop and implement machine vision solutions in an organisation. These experts also deploy, debug, and test algorithms designed for different business environments.

4. AI Labs Senior Technical Researcher

This researcher is responsible for researching new findings in AI and curating solid solutions. They are deployed to create reports on these researches, present them to the stakeholders and share ideas to implement them successfully.

5. Data Engineer

A data engineer is responsible for working with different departments and meeting their data needs via AI. They have a duty to extract as much data as possible and then format it for every user needing it.

6. Machine Learning Engineer

AI is all about machine learning. Thus, the machine learning engineer is responsible for generating large amounts of data, designing scalable pipelines, and building effective solutions.

7. Software Engineer

A software engineer makes successful AI applications and is also responsible for their implementation. They also curate advanced software programs often used by data engineers and architects.

8. Data Analyst

A data analyst performs data mining, cleaning, and interpretation. The expert is also responsible for discarding unnecessary data and formatting all the right information to avoid confusion.

9. Robotics Scientist

Robotics scientists have the knowledge and skills to create AI-powered robots. They also manage their performance and make changes to their programming as required.

10. Software Architect

This is a popular job for AI specialists. A software architect builds tools and platforms that meet all the AI standards and work efficiently to extract relevant data. 

Interestingly, AI is also a part of non-technical job opportunities, such as teaching, art, and music. If you want to enter these fields and earn a living, you must do a relevant search, identify the market and evaluate the possibilities of success.

Job Outlook and Salary

The good news is that the job outlook for AI specialists is quite positive, and the salary packages are attractive too. Companies like Facebook, Microsoft, and Google heavily invest in AI development and research, creating new job opportunities every month. 

Regarding salaries, an AI specialist can earn a competitive salary in Ireland. While factors such as job title, experience, and industry may impact the final wages, the packages in every sector are attractive. 

For instance, according to the latest statistics, the average yearly salary of an AI Engineer is around €86,000. A data scientist can earn up to €48,000, and a machine learning specialist may get €50,000. 

These salaries are expected to rise yearly, provided that you stay updated with new AI features and advancements.

Develop Appropriate Skills 

Once you are clear about the job or industry you wish to pursue, develop the skills you need to grab the best opportunities. If you have a technical background, you already have some basic knowledge and technical skills. However, if you want to pursue an AI career without the foundations, there are a few things that you will have to learn to make a place for yourself.

Learn Technical Skills 

A must skill for any AI job is coding. You should also have an understanding of working with different computer systems, so ensure to have specific technical skills like: 

• Know-how of languages like Python

• An understanding of database management and database acquisition

• Data statistics and analysis
  

You should also possess specific common attributes like critical thinking, analytical skills, decision-making, and problem-solving. These workplace skills help you develop effective collaboration with your teammates and work on easy and complicated projects.

Polish Your Presentation Skills

While the above skills matter too, strong presentation and communication skills are excellent factors to make you stand out from the rest of the job applicants. 

In addition, if you want to work in AI, you should also practice an empathetic and collaborative approach. While you should be aware of concepts like algorithms and machine learning, you should also ask how these categories of AI impact the human context.

Build a Portfolio

A strong portfolio is focused rather than diversified. So, before you build and share your portfolio with potential employers, choose an AI area, such as computer vision, machine learning, or natural language processing.

Attend Networking Events

Networking is one of the crucial aspects of breaking into the AI industry. 

So, if you want to be recognised, you should attend these functions and meet people with a similar mindset. 

Interestingly the AI market in Ireland is enormous. 

Here are a few that you may want to attend. 

• AI Ireland: AI Ireland is an online community that arranges events yearly. It also holds annual conferences, workshops, webinars, meetups, and hackathons. You can join the group to stay updated on their activities. 

• Dublin Artificial Intelligence & Machine Learning: This is another popular group that hosts meetups and conferences on artificial intelligence. 

• Data Science Ireland: This community has a powerful presence and popularity in Ireland. Led by AI enthusiasts, the group aims to make the AI job hunt as convenient as possible. 

• Women in AI Ireland: This group caters to women working in AI. The group encourages gender diversity in AI and believes in educating more women about this technology. 

• TechMeetups: This platform hosts meetings and conferences of AI specialists from around the world. They are prevalent in Ireland and aim to spread worldwide pretty soon. 

Attending these events can help you learn more about the AI industry, the job opportunities available, and any new trends you may need to keep up with.

FAQs

Is It Hard to Find a Job in AI?

No, it isn’t hard, but you must have specific training and knowledge to land your dream position. 

Which AI Jobs Are Always in Demand?

There are many, for instance, AI engineers, data scientists, machine learning engineers, and AI researchers.

Conclusion

AI is the present, and you can be it too. Now that you know how to find a job in AI, gear up and follow all the steps above. 

Polish your skills and knowledge through courses like Artificial Intelligence for Businesses by UCD Professional Academy. They help you increase your knowledge in AI to help you become a better specialist.

Once you have found the job you always wanted, work hard and take AI to new heights.