Top 5 Tech Jobs of the future: Check Highest Paying IT Jobs and in-demand Tech Careers

You have successfully acquired a Bachelor’s or Master’s degree, what’s next? Which career option should you choose? Do you know top 5 tech jobs of the future or top 5 highest paying Tech careers in India and around the world? We’ll discuss it here.

Technologies like Machine Learning, artificial intelligence (AI), cloud computing, and data analytics had been growing at an alarming rate, however after the coronavirus pandemic, it has become necessity in today’s society. Today, the demand of these technologies is on boom or you can say these are highest paying skills today around the world.

So, if you are willing to pursue a career in software development, data science or artificial intelligence then which skill sets are required, what kind of jobs should you look for and what will be your salary are crucial to know. We are highlighting all these prospects of the top 5 highest paying IT Jobs in India and abroad here. These are the highest paid jobs in the world.

Top 5 Tech Jobs of the Future with details about Necessary Skills, Job Title, Expected Salary

It is being discussed whether automation will cause reduction of jobs in the IT market. Whether it is true to not, you must prepare yourself to stay on top even if tech careers retreat. I am discussing here few trending and upcoming hot skills that will stay relevant beyond 2024 or you can say I am discussing here best IT and tech jobs in the world.

  1. Data Scientist

Data science

Data science jobs are not considered among the new and emerging tech jobs like machine learning engineers, or cloud computing engineers, they are still the hidden gem inside an organization and will continue to be.

Date scientist can work in almost every industry and sector, IT to manufacturing, entertainment to healthcare, it’s the key responsibility of a data scientist to compile, process, examine and present data for an organization.

Must-have skills for Data Scientists

  • Analytics and Modeling
  • Math and Statistics
  • Programming
  • Machine Learning Methods
  • Data Visualization
  • Intellectual Curiosity
  • Business Acumen
  • Communication

How to become a data scientist?

Becoming a data scientist is hardly possible in six months or a year- instead, it’s a lifetime process which requires you to follow continuous dedication and acquire relevant experience. We are here to guide your journey, the skills outlined below is must to acquire first.

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Step 1: To start your career as a data scientist, your first step should be getting familiar with a programming language like Python. It is a versatile programming language, easy to understand and also supports a number of in-built libraries like Pandas, Numpy, MatplotLib, Scipy, Seaborn, and many others. Python is the most preferred coding language by data scientists around the globe.

Step 2: Acquire knowledge on statistics and probability as it is essential to become a data scientist. It helps data scientists to understand large data sets, get quick insights from them, and scrutinize them for better.

Step 3: After completing the above two steps, your third step is to learn Structured Query Language (SQL) which is used to extract and communicate with large databases.

Step 4: When a data scientist gets a project, they spend most of their time in removing unwanted values, cleaning the data set, and gripping missing values. However, the same is achievable using inbuilt python libraries such as Numpy and Pandas.

Step 5: Whenever we talk about data science, Exploratory data analysis plays a vital role. Data scientists have to do several tasks which also include examining data, finding data patterns and accurate trends in the data and getting valuable insights using different statistical and graphical methods like Data Visualization, Data Manipulation and Data Analysis using Numpy and Pandas.

Step 6: You need to learn machine learning algorithm as it a crucial aspect of data science.

  1. Machine learning engineer

machine learning

It is a core section of artificial intelligence and considered idyllic for individuals passionate for computer science and pursue a career in a fast-moving industry. Machine learning engineers are responsible for creating complex algorithms using big data to eventually program a machine that can perform tasks like human do.

Image recognition, economic forecasting, and natural language processing are conceptualized so that the machine can learn and perform tasks without human interference. Let us understand here must-have skills and how to become a Machine learning engineer.

Must-have skills for Machine learning engineers

  • Neural Network Architectures
  • Applied Mathematics
  • Physics
  • Advances Signal Processing Techniques
  • Data Modeling and Evaluation
  • Natural Language Processing
  • Reinforcement Learning
  • Audio and video Processing

How to become a machine learning engineer?

Step 1: You need to become a skilled software engineer and gain experience in this domain.

Step 2: You need to acquire Machine Learning experience.

Step 3: Clear theoretical aspects of Machine learning modules and how projects are implemented.

Step 4: Acquire practical experience by doing multiple projects on real data.

Step 5: Take help from dozen of articles, video sessions, and podcasts already published on the internet.

  1. UX designer

UX designer

User eXperience (US) designers work behind-the-scenes to ensure websites, software, or applications meet the consumer’s requirements, behaviors, motivations and habits. More number of businesses are getting digitalized today and hence the role of UX designers is much in demand. You can consider it an evergreen career option at global level.

Must-have skills for UX designers

  • Wireframing and Prototyping
  • User Research and Tactic
  • Responsive Web Design
  • User Interface (UI) Design
  • Team and Stakeholder Management
  • Project Management
  • Collaboration
  • Empathy
  • Communication

How to become a UX designer?

UX designers unite product development, market research design, and strategy to craft flawless user experiences for services, products, and processes. With task analysis, user behavior research, empathy and multiple levels of ideation and testing, they construct a bridge to the consumer, assisting the product owner or company to accurately understand and meet consumer’s requirements and expectations.

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Step 1: Your first step is to acquire a degree in computer science, virtual design, graphic design, UI design, or Information architecture.

Step 2: Learn the disciplines that constitutes of modern day UX design such as spend time in UX communities, listen podcasts, chat with expert UX designers, or read published blogs on UX design. It will give you an overall idea about how to learn modern day UX design and how will you perform your job.

Step 3: Your next task is to learn key UX principles. Learn to understand your target users, their requirements and expectation and then design a solution that is technically feasible, user-friendly and capable to meet business within a pre-set budget.

Step 4: Further, you need to learn UX design methods and processes such as

  • User research
  • User personas
  • User research analysis
  • Prototyping
  • Wireframing
  • User testing
  • Information architecture
  • Usability testing

Step 5: Pursue a credible UX course from a reputed centre and make yourself familiar with real-time projects.

Step 6: Practice is essential, so work on different UX design projects and make yourself familiar with methods and processes of UX design.

  1. Cloud Engineer 

Cloud Engineer

Cloud computing has become an essential requirement today for those working remotely. Companies are hiring individuals who are well-versed in implementing the required infrastructure, migrating processes and performing cloud-related tasks.

Cloud engineers perform a similar role but with different job titles such as cloud developers, solutions architects, and sysops engineers. The role may vary from one organization to other, however the common role of a cloud engineer is to map, observe and administer an organization’s cloud system such as Microsoft 365, Google Cloud etc.

Must-have skills for Cloud Engineers

  • Understanding of how Cloud Service Providers work
  • Cloud storage like Personal Cloud Storage, Hybrid Cloud Storage, Private Cloud Storage, Public Cloud Storage
  • Programming Skills like SQL, Python, .net, XML With Java Programming
  • Networking
  • Linux
  • Virtualisation
  • Web Services And API
  • Security and Disaster Recovery
  • DevOps

How to become a cloud engineer?

Step 1: You need to obtain a degree first. Many cloud engineers start their career after getting a bachelor’s degree in computer science, software engineering, IT and other associated domains.

Step 2: You need to make yourself comfortable with programming languages such as Python, C++, Java. It is also required to improve your understanding on mainstream cloud services, like AWS, Hadoop and Azure.

Step 3: You need to get experience in cloud computing through internships and open-source projects. This will highlight your job portfolio.

Step 4: Try to obtain Master’s degree in tech filed like software engineering, system engineering as it will bring more job opportunities for you.

Step 5: You need to get yourself certified for cloud computing. Companies like Google, Microsoft, Amazon offer cloud computing and engineering certificates however for the same you need to take and pass an exam.

  1. Robotics engineer

Robotics engineer

Robotics engineer is one of the highest paying job profiles in the world but it requires patience and balanced thinking. As technology is evolving at a rapid pace, robotics engineers have to examine, reassess, construct, check and uphold the prototypes, integrated software and machines, robotic components, they develop for the mining, manufacturing, and automotive service industries.

Must-have skills for Robotics engineers

  • Systems Thinking
  • Programming skills that interact with electronics, hardware, and the real world
  • Mathematics is the core skill in robotics
  • Skills in Science and other Applied Mathematics
  • Technology Design
  • Persistence
  • Complex Problem Solving skills

How to become a Robotics engineer?

Robotics is a multidisciplinary domain which brings together diverse branches of engineering- including computer and system engineering, electronic and mechanical engineering. While robotics is a vital part of manufacturing industry it is also essential in industries like transportation, aerospace, medicine, automatics and many others. Robotics engineering is one of the top 5 tech jobs of the future and still in-demand. You need to follow the steps below if you want to become a successful robotics engineer:

Step 1: You must have a bachelor’s degree to start your career in robotics engineering however your degree should be in a field related to robotics. Though, there are many colleges who offer a specific degree in robotics engineering, but employers also prefer to hire people who are graduated in electrical, mechanical, software, or computer science engineering.

Step 2: After a degree you should focus on developing the required skills in robotics engineering. A robotics engineer should be well-versed in-

  • Fundamental engineering
  • Manufacturing operations
  • Automation principles
  • Mathematics
  • Programming
  • Statistics
  • Material science and engineering science
  • Process control

Step 3: Though having a bachelor’s degree is the minimum requirement to enter in the field of robotics engineering, still it is suggested to acquire Master’s degree such as Master of Science in Robotics for better opportunities.

Taking the First Step Toward Your Future

Well, so these are top 5 tech jobs of the future. Your success depends upon how vibrantly you start. Therefore, collect all possible information whether you want to become a data scientist, machine learning engineer, UX designer, cloud engineer, robotics engineer or want to pursue your career in some other fields like Software Architect, Blockchain Engineer, Internet of Things (IoT) Solutions Architect, Big Data Engineer, Full-Stack Developer, Product Manager, Digital Marketing professional etc, acquire related degree, training and certification, and get started with your first job.

If you are considering choosing one of the best tech profiles shared above, you can just rest assured in knowing the career will be a rewarding, sustainable, and lucrative one. Although no two professionals will ever have exactly the similar career path, following the tips outlined above can be an exceptional way to get started and advance in your field.

If you want an expert assistance then feel free to share your concern through the comment box below. We are here to assist you.

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