Artificial intelligence has been fast-tracking change in industries worldwide. Traditional job roles are changing, and new career opportunities are budding. The more that businesses integrate AI technologies, the greater the demand for professionals with AI and related field skills will be. Be it a veteran technology professional looking to branch into AI or someone who would like to break into the industry, knowing what the AI jobs landscape looks like is critical in future-proofing your career.
Image Source - DICE
Why AI Skills Are in High Demand
AI technologies in machine learning, natural language processing, and robotics are finding fast applications across industries. Beginning with healthcare, AI brings efficiency, accuracy, and innovation into every sector down to financial services. Hence, companies need professionals with AI expertise in their organizations to remain competitive. A World Economic Forum study estimates that by 2025, AI will create 97 million new jobs, outstripping the number lost through automation.
Top AI Job Roles and Career Paths
Some of the most sought-after AI job roles have been enlisted:
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AI/ML Engineer
AI and Machine Learning Engineers are the creators of AI. Designing, developing, and implementing AI models and algorithms are the key roles of AI and Machine Learning Engineers. This field requires programming language skills in either Python, R, or Java and data science expertise.
- Data Scientist
Data Scientists interpret complex data sets to develop insights that will help companies drive data-driven decisions. With AI playing a huge role in data analysis, demand surged for skilled Data Scientists. A good background in statistics, machine learning, and data visualization tools is important.
- AI Research Scientist
AI Research Scientists research and experiment to come up with advancements in AI technologies. The position best suits a person with an extremely good academic record in Artificial Intelligence, Computer Science, or Mathematics, and the urge to go beyond the stereotypical abilities associated with AI.
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Business Intelligence Developer
AI developers analyze data to come up with actionable insights that will help businesses make strategic decisions. It therefore calls for a mix of both analysis skills with data and business acumen, which could drive strategic decisions.
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Robotics Engineer
Robotic engineers design and develop robots that perform autonomously or in support of man. With AI advancing, AI in robotics is getting sophisticated and increasing the demand for skilled engineers in that area.
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AI Product Manager
AI Product Managers drive bridge technical teams with business stakeholders in a house. This type of product manager develops and fields AI-powered products while making sure that these products stay aligned with the goals of the business. This position requires strong project management skills with a deep understanding of AI.
Image Source - Medium
How to Get Ready for a Career in AI
First, if you want to break into AI for real, you need a strong base in computer science, mathematics, and data analysis. Steps you can take to do this:
► Educational Background: For most of these positions, you will typically be required to possess a degree in Computer Science, Data Science, or other related disciplines. Specialized roles, such as AI Research Scientist, may require advanced degrees like a master's or Ph.D.
► Skill Acquisition: You want to learn programming languages like Python and R and how to begin work with machine learning frameworks like TensorFlow and PyTorch. Online courses and Coursera certifications will also be able to help you build your set of skills.
► Be Informed: This field of AI is changing at a frantic pace. Keeping yourself abreast about trends, research, and technologies through AI publications, attending webinars, and following online forums becomes very critically important.
► Practical Experience: The more practical experience one gets, the better. Do projects in AI, contribute to open source AI projects, or intern to build your portfolio.
The Future of AI Jobs
The ever-evolving AI will develop new roles and job opportunities. It means creating hybrid jobs that fuse expertise in AI with domain knowledge if one incorporates AI in business. For example, AI specialists will team up with experts in a certain domain, such as health experts and medical professionals, to work on developing AI-driven diagnostics tools. In finance, AI experts will team up with analysts to come up with better and more informed investment strategies.
Image Source - The Financial World
Conclusion
AI is not some trend; it is the future of work. Career positioning in AI with the right set of skills and self-adaptability is therefore very important. From technical roles like AI/ML Engineer to more strategic ones like AI Product Manager, a wide plethora of opportunities is presented to the candidates in AI. Now is the time to embrace AI and secure your place in the future of work.
Inputs By Agencies
Image Source: Multiple Agencies
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