The Most In-Demand Jobs for 2023: Jobs of the Future

Thanks to demographic changes and technological advancements, the job landscape has shifted considerably across the globe. In the coming years, new jobs will emerge, some current jobs will require new knowledge and skills, and some positions will become completely obsolete.

Certain job categories will see more growth than others due to the economic and social factors at play. Therefore, it has become integral to keep track of this ever-evolving world of work. Here are some jobs that are expected to be in demand in 2022! 

Top Jobs To Be In Demand in 2022

1. AI Specialist

Recording an average annual growth rate of 74% since 2015, the job profile of Artificial intelligence (AI) Specialists will remain among the top jobs in 2022. Demand for artificial intelligence course among students and working professionals has been exploding in recent years.

The primary task of AI Specialists is to design intelligent and intuitive programs that can make computers “think” and perform human-centric tasks. While some AI Specialists work in Cognitive Simulation, some others work in Applied AI. 

In Cognitive Simulation, computers are used to test hypotheses on how the human mind works and Applied AI designs smart computer systems that can perform a whole range of applications (for example, fingerprint recognition, voice recognition, etc.).

AI Specialists can find job opportunities in research centres of universities, software companies, IT/ITES companies, and also in large corporations that maintain in-house AI groups. 

2. Data Scientist

Data Scientists are high-level professionals who are tasked with extracting the maximum value out of data. They gather market, business, and customer data from multiple sources to process, analyze and interpret it to uncover the underlying patterns within the data. These insights are then used to understand business performance and to design AI/ML tools that can automate specific business processes, boost ROI, increase customer satisfaction, and most importantly, promote data-driven decision making.

Doing a professional Data science course from reputed institutions increase your chances of landing a high paying job. Data Scientists are skilled in data mining techniques and statistical analysis. They usually find jobs in R&D wings of companies, be it IT/ITES, e-commerce, financial services, academics, and healthcare.

3. Robotics Engineer

As the name suggests, Robotics Engineers are experts in the field of Robotics. They design, test, and build robots that are efficient, safe to operate, and also financially feasible to purchase and maintain. Robotics Engineers use computer-aided design/drafting and computer-aided manufacturing (CADD/CAM) systems to perform designing tasks.

Robotics has found applications in various industries, including automotive, aerospace, metals, nuclear, mining, textile, and IT, to name a few. Hence, Robotics Engineers must determine the requirements of applications according to the industry and build customize robots.

Usually, Robotics Engineers are employed by private robot manufacturers. However, they can also find job prospects in military and space programs.

4. Data Analysts

Data Analysts are professionals who collect, process, and performs statistical analyses of data and present it in ways that are both actionable and efficient. They are responsible for bringing technical expertise to validate the quality and accuracy of data and to develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Their primary focus is to leverage data insights to help businesses make better decisions.

Since businesses across all sectors (including finance, consulting, manufacturing, pharmaceuticals, government and education) have started to use Big Data, the demand for Data Analysts is on the rise.

5. Full Stack Engineer

Full Stack Developers are computer programmers and web developers who are skilled in both front end (the user-side) and back end (server-side) coding. They are mainly responsible for developing and designing front end web architecture, servers, and databases for website functionality and coding for mobile platforms; evaluating software programs for performance issues, bugs, and design flaws; incorporating user interactions on websites, and enhancing the responsiveness of applications.

Full Stack Developers work in close collaboration with Graphic Designers. Full Stack Developers can find job opportunities in software companies, financial service companies, digital marketing companies, and any other enterprise who use and maintain web/mobile apps. upGrad offers PG Diploma in Full-Stack software development course with 500+ hours of rigorous training, guaranteed job interviews, IIIT-B alumni status.

6. Cybersecurity Specialist

Cybersecurity Specialists are security experts who take care of the entire network/system security structure of a company. They must regularly monitor systems for any unusual activities; conduct counteractive protocols and report incidents; search and identify vulnerabilities and risks in hardware/software systems; manage and track any attacks and intrusions, and build firewalls into network infrastructures, among other things. 

The recent surge in cyberattacks and threats has solidified the position of the Cybersecurity Specialist, particularly in IT and BFSI companies.

7. Cloud Engineer

Cloud Engineers are IT professionals who handle and manage all the technical workload associated with Cloud Computing. Their primary responsibility is to design, plan, manage, and monitoring cloud systems of a company. Cloud Engineers have to evaluate the existing infrastructure of a business, and research logical and financially feasible solutions for moving different functions (for instance, database storage) to a cloud-based system.

Apart from maintenance and support tasks, Cloud Engineers also have to deploy and debug cloud initiatives as and when needed throughout the development lifecycle, as per the best industry practices. 

Cloud Engineers are mostly hired by IT companies (medium and large-sized) who adopt and leverage Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) offerings. 

Wrapping Up

All in all, the jobs of the future will require greater mental stimulation and engagement. The above list gives you a peek into the careers which are likely to experience growing demand in 2022. Knowing what they are and understanding what they need will help you prepare in advance. 

What makes a robotic engineer?

To become a robotics engineer, you would require a university course, a college course, an apprenticeship, and working experience in this role. You can do a degree in artificial intelligence and robotics, network theory, mechanical engineering, mechatronics, electronics and communication, computer science, or mathematics. You can also work in developing artificial intelligence if you qualify in psychology or cognitive science. In addition to it, you'll usually need a degree in a relevant subject for postgraduate study, and 2 or 3-A levels, or equivalent, including maths and physics.

What to do to become a data scientist?

Generally, formal training is required to become a data scientist. However, you have to earn a data science degree before training, as employers prefer those with some academic credentials and know-how to tackle a data science job. You also might have to sharpen or polish your hard data skills. You can enrol in an online course for the same. The next step would be to get an entry-level data analytics job to have an excellent start to your career. The last step would be to prepare for data science interviews. Since the data scientist position is highly technical, you need to be well-versed with technical and behavioral questions.

What are the expected salaries for AI jobs?

Artificial intelligence, or A.I., refers to a computational process that imitates human behaviour, prominently known as machine learning, which includes deciding what feedback to make and what information to gather. Artificial intelligence specialist jobs can pay up to INR 16 lakhs per year, depending on the organisation. Currently, many AI-related jobs are in the software, banking and technology industries. Most A.I. specialists earn between INR 3 lakhs to INR 10 lakhs a year. A.I. engineers with at least five years of experience in the field can earn INR 6 lakhs or more annually. Some of the highest-paid A.I. engineers make even INR 23 lakhs annually.

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