Have you ever questioned how machines are becoming smart while capable of performing activities with low or zero human intervention? Well, the answer is artificial intelligence. From self-driving cars to Alexa, which you use in the comfort of your home, it depends upon AI.
With each passing day, businesses are depending heavily on AI, leading to more professionals getting acquainted with the technology. There is no threat if you are worried about AI taking over the job and messing up the economy. According to the World Economic Forum, AI will create 97 million AI jobs by the year 2025.
Read along if you are curious to know about these in-demand artificial intelligence jobs.
Why Choose an Artificial Intelligence Career?
AI skills are comparatively new in the market when compared to traditional skills in the economy. The field is still evolving, yet it is already sought-after by top employers. AI professionals are not only in demand but possess stable career options because AI is the future.
According to PayScale, the salary for skilled - AI in the USA is $136K/year in 2024, making it a lucrative career option. With this, let us move on to see top AI jobs to switch to in 2024.
7 Most In-Demand AI Jobs in 2024
1. AI Research Scientist
Responsible for the innovation of pre-existing AI models and systems, AI research scientists are accountable for developing new algorithms to deal with real-life business problems.
Skills/Qualification Required - Strong foundational knowledge with a bachelor's degree in computer science, math, or a similar field. You can pursue an AI course for in-depth understanding of your niche. PhD degree in a related field is always a plus sign.
2. ML/ AI Engineer
Being a critical part of the data science project team, ML/AI engineers are responsible for researching and building AI systems that can automatically optimize their performance from experience.
Skills/Qualification Required - Mandatory bachelor's degree preferably in statistics, math, or computer science. Adequate knowledge of programming languages and a deep understanding of machine learning.
3. AI Ethics Officer
An AI ethics officer is responsible for guiding the company regarding the ethical use of data and AI technology to fulfill social responsibility in the market. These AI professionals have to frame guidelines and ensure every AI project follows the same.
Skills/Qualification Required - No exceptional degree required. However, an individual must have a background in a related field like law or computer science along with knowledge of theoretical concepts to perform the job better.
4. Robotics Engineer
Without a doubt, the most evolving concept, robotics engineer, is responsible for creating, developing, and training machines, aka robots, to mimic human activity. The robots are trained to perform hazardous jobs that include dangerous materials.
Skills/Qualifications Required: Machines' hardware knowledge and programming language familiarity are necessary. According to the job requirements, the role may also require a degree in robotics or electrical engineering.
5. AI Product Manager
Right from planning to launch, the AI product manager is responsible for supervising the growth of AI products. Accountable for overlooking every aspect, they manage technology, user interest, business needs, and more.
Skills/Qualification Required: A strong knowledge of AI concepts is necessary along with a technical background. More than these AI skills, reasonable experience in product management will do wonders.
6. Cybersecurity Analyst
AI-based cybersecurity analysts are responsible for ensuring the data collected is safe to be analyzed in real time. AI algorithms and models depend upon vast volumes of data; the analysis assists in identifying cyber threats before it is too late.
Skills/Qualification Required: A Bachelor's degree in IT completes the work. Experience in the AI field or attending relevant AI certification programs act as the cherry on cake to get a high-paying, in-demand job.
7. Data Scientist
A professional responsible for analyzing data with statical and AI skills and extracting actionable insights is termed a data scientist. Businesses depend upon these professionals to make data-driven decisions for the well-being of organizations.
Skills/Qualification Required - Degree in a technical field like computer science. Strong programming knowledge of Python and R, as well as deep familiarity with tools like Tableau.
Becoming an AI Professional - Final Words
Xometry says the adoption of AI among business leaders has significantly increased, with 61% actively embracing or already incorporating AI. If interested, it is high time now to select investment-worthy artificial intelligence certification programs from top platforms such as USAII® and get industry-relevant and project-based core skills. The right skills and hands-on training will level up your expertise and prepare you for your dream level. Begin with an international platform and kickstart your AI career ASAP!
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