Career Advice
Paul Brown
08.08.2023
Artificial intelligence (AI) has experienced a rapid expansion in recent years and even more so in the last few months. This has reshaped various industries and revolutionised how businesses operate. With AI becoming increasingly prevalent, there is a soaring demand for skilled professionals who can harness its potential. And with ample opportunities available, it’s the prime time for you to brush up on your skills in preparation for a career in AI – whether you’re an aspiring AI enthusiast or a seasoned professional!
We’ll delve into the world of the fastest-growing AI roles, shedding light on the exciting opportunities out there and provide actionable advice towards landing your dream job in artificial intelligence.
What’s in this article?
- Are AI jobs in demand?
- What jobs will experience maximum AI adoption?
- Top 5 fastest-growing AI roles to watch out for in 2023
- How to land your dream job in AI
- What’s next?
Are AI jobs in demand?
The world is on the brink of a technological revolution and at the forefront of this transformation lies AI. In fact, according to the World Economic Forum, big data, cloud computing, and AI are among the most sought-after technologies for adoption, with over 75% of companies planning to integrate them within the next five years. Moreover, AI and machine learning have emerged as the top contenders for the fastest-growing jobs.
The demand for AI talent has skyrocketed by 450%
As a result, the workforce will be equally split between humans and machines by 2025, emphasising the pivotal role AI will play in shaping the job landscape and the demand for AI talent to maintain these machines. So far, since 2013, the demand for AI talent has skyrocketed by an astounding 450%, indicating the industry’s insatiable appetite for skilled professionals in the field. Furthermore, the projected growth rate for AI in the workforce between 2023 and 2025 currently stands at 40% and is only expected to surge further in the coming years.
AI is the number one training priority for large corporations
Unsurprisingly, AI and big data rank third in priority for company training strategies and are predicted to remain a top priority until 2027. For large corporations with over 50,000 employees, these technologies take the lead as the number one training priority.
The expansion of AI roles can be attributed to several key factors, including rapid technological advancements, increased business adoption of AI-driven solutions, and the growing recognition of the potential of AI in solving complex problems across industries.
What jobs will experience maximum AI adoption?
Artificial intelligence is posed to revolutionise the workforce, by augmenting and supporting human capabilities. The widespread adoption of AI technologies presents a tremendous opportunity for enhancing efficiency, productivity, and innovation across industries. Rather than fearing job displacement, we should embrace AI as a valuable ally that can empower us in various ways.
AI’s ability to automate repetitive and mundane tasks allows employees to focus on more strategic and creative aspects of their jobs. By handling time-consuming data analysis, administrative duties, and routine processes, AI frees up human workers to engage in higher-level decision-making and problem-solving tasks, where their unique skills and expertise are truly valuable.
Findings from the World Economic Forum reveal that the demand for AI and Machine Learning specialists is projected to grow by 40%, which is equivalent to one million jobs. The core reason for this is that the usage of AI and machine learning drives continued industry transformation, helping individuals with their everyday tasks. The research also reveals that it is higher wage roles and jobs with greater barriers to entry that will experience the highest level of AI adoption.
Top 5 fastest-growing AI roles to watch out for in 2023
As companies increasingly focus on harnessing the power of AI to maximise business outputs, new AI-related roles are emerging. While some businesses are looking to upskill their existing employees, others are looking to hire new talent. So, what jobs will AI create?
1. AI (Artificial Intelligence) /ML (Machine Learning) Engineer
AI/ML Engineers play a vital role in designing and deploying artificial intelligence and machine learning systems. Working as an AI/ML Engineer, your key responsibilities would include developing machine learning models, preprocessing data, and optimising algorithms to solve complex business problems.
Proficiency in programming languages like Python, R, and knowledge of machine learning frameworks such as TensorFlow are essential skills. Additionally, a strong grasp of statistics, mathematics, and problem-solving abilities are crucial for model design and evaluation
2. Data Scientist
Data Scientists are skilled professionals that work to unlock valuable insights from vast amounts of data using cutting-edge technologies like AI. As businesses collect and store enormous datasets, Data Scientists possess the expertise to extract meaningful patterns, trends, and predictions that drive informed decision-making, which is enhanced through AI-powered data analytics.
As the demand for data-driven insights continues to grow, Data Scientists remain central to fostering innovation, enhancing efficiency, and shaping the future of industries across the globe. Want to get involved? The FDM Data Engineering Programme offers aspiring Data Scientists a comprehensive and practical learning experience, equipping them with the skills to handle complex data challenges and work placement with our leading clients.
3. AI Product Manager
AI Product Managers play a crucial role in the development and implementation of AI-powered products. They act as the bridge between technical teams and business stakeholders, translating complex AI capabilities into actionable product strategies. They possess a deep understanding of AI technologies, market trends, and customer needs, allowing them to identify opportunities where AI can create value.
To work as an AI Product Manager, individuals are required to have a unique blend of technical expertise, market understanding, and soft skills. They must possess a deep knowledge of AI technologies, machine learning, and data analytics while exhibiting strong product management capabilities for effective strategy and roadmap development.
4. NLP (Natural Language Processing) Specialist
NLP (Natural Language Processing) Specialists play a pivotal role in the realm of language-based data by transforming unstructured text into valuable and actionable insights. In today’s data-driven world, vast amounts of textual data are generated daily, from customer reviews and social media interactions to documents and emails. NLP specialists have the expertise to design and implement algorithms and models that can comprehend, interpret, and extract meaningful information from this unstructured data.
NLP specialists contribute to cutting-edge applications like chatbots and virtual assistants, enhancing customer experiences and automating various language-based tasks. To get started as an NLP Specialist, you will need skills in programming languages like Python, knowledge of NLP libraries and frameworks (NLTK, spaCy), data preprocessing, text analysis techniques, and machine learning algorithms.
5. Computer Vision Engineer
Computer Vision Engineers are gaining immense importance across diverse industries, revamping fields like autonomous vehicles and medical imaging. For instance, in autonomous vehicles, Computer Vision Engineers develop algorithms that enable vehicles to perceive their surroundings, interpret road conditions, and make real-time decisions, ensuring safer and more efficient transportation.
The skills required for this role include expertise in programming languages like Python and C++, proficiency in computer vision libraries and frameworks (OpenCV, TensorFlow), knowledge of image processing techniques, deep learning algorithms, and model optimisation.
How to land your dream job in AI
As you can see, there are numerous job opportunities emerging in AI across industries, but the question is: how do you land one of these jobs? Let’s delve into the top five ways to land your dream job in AI…
1. Build a strong educational foundation
Gaining a relevant degree in AI, such as computer science, data science, or engineering, is undeniably valuable for aspiring AI professionals. However, it’s worth noting that a specific AI-related degree is not always a strict prerequisite. Individuals can embark on their AI journey through various alternative paths.
Enrolling in online or in-person courses specialising in artificial intelligence offers a flexible and accessible route to acquiring in-depth knowledge and hands-on experience in AI technologies.
Furthermore, seeking internships or apprenticeships in AI-related roles can provide invaluable practical experience, working on real-world projects alongside industry professionals. Not only does this bolster skills, but it also establishes valuable connections within the AI community.
2. Develop in-demand AI skills
AI and big data ranks third among company skills-training priorities in the next five years and will be prioritised by 42% of surveyed companies. The shift towards AI tools has surpassed human-driven computer programming, networks and cybersecurity skills, and general technology literacy.
To thrive in this evolving landscape, individuals must acquire essential AI skills, including proficiency in programming languages like Python, R, or Julia, commonly used in AI and data science. Familiarity with popular AI libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn is also crucial. Building an AI portfolio can be a powerful tool during job interviews, showcasing practical expertise and impressing potential employers.
3. Brush up on your soft skills
According to data from Coursera in the same report, individuals have previously prioritised developing hard skills associated with successful or lucrative careers in programming or data analytics. However, with emerging technologies, such as generative AI, the focus has shifted towards more soft skills, which allow companies to respond to change and are resistant to automation. Therefore, it is crucial to improve your soft skills in order to meet this criteria and adapt with business changes.
A few examples of beneficial soft skills for an AI role include:
- Communication to enable effective collaboration with cross-functional teams.
- Problem-solving and critical thinking to aid in tackling complex challenges.
- Adaptability and continuous learning to help AI professionals stay current with advancements. Empathy fosters ethical AI development, ensuring responsible and human-centric solutions.
4. Network and build connections within the AI community
Advancing your AI career requires proactive steps. Attend AI conferences and meetups to network with industry professionals and potential employers. Join online AI communities on platforms like LinkedIn, GitHub, and forums to connect with experts and like-minded individuals. Collaborate on AI projects to gain diverse perspectives and showcase your teamwork skills. By immersing yourself in the AI community, you’ll enhance your knowledge, build valuable relationships, and position yourself for exciting opportunities in the world of artificial intelligence.
5. Stay updated and adaptable
It’s crucial that you keep up with the latest trends. AI is a rapidly evolving field, so make sure to stay informed about the latest advancements, research papers, and industry developments. Also, be adaptable. AI encompasses various domains and applications, so be open to exploring different areas within AI and adjusting your career path accordingly. Embracing the AI revolution, keeping in the loop, and honing the essential skills is the key to unlocking a promising and rewarding career path in the ever-evolving world of AI.
What’s next?
It’s still early days but safe to say that AI will play a central role in most job functions going forward. Automation boosts organisational efficiency and productivity in ways that human labour can’t. From scanning high volumes of customer data to find unique behavioural trends to developing algorithms that can automate vehicular movements, initial AI integrations are already underway.
As AI and machine learning tech continues to evolve we’re excited to see the possibilities it presents both for the job market and our daily lives.