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The Highest Paying Jobs In The World



10. Product Manager 
A product manager assists in determining the parameters around the product that the engineering team produces, and then directs the development of that product from conception to launch.

Product managers are in charge of developing an operating plan that will aid in the achievement of strategic and tactical goals and objectives, developing a product portfolio, managing and implementing marketing efforts, and contributing to the product strategy and vision.


9. Engineer in Artificial Intelligence (AI)
An Artificial Intelligence (AI) architect creates, manages, and supervises AI initiatives within a company. An AI architect must be well-versed in mathematics and statistics.
Furthermore, an AI architect will:

Possess strong programming skills and knowledge of Python, R, and Torch. Understand how Tensor Flow and other related technologies function. Have a firm grasp on AI, ML, Neural Networks, and Deep Learning.


8. Full-Stack Developer
Today, there are over 23 million developers worldwide, with a projected increase to 27.7 million by 2023, making it one of the highest-paying IT positions in the business!

Some of the information and skills required to become a professional full stack developer include: MongoDB, Express.js, AngularJS, and Node.js are examples of technologies. How to Create and Design an API Scripting and coding The basics of web development The fundamentals of database technologies


7. Cloud Architect 
A cloud architect implements and manages a company's cloud computing strategy.

A cloud architect must have the following abilities and knowledge:
A deep understanding of cloud application architecture is required. Understanding of the Amazon Web Services (AWS), Azure, or Google cloud platforms Excellent communication abilities

Recommended Course : GCP Architect | AWS Cloud Practitioner  

6. DevOps Engineer 
A DevOps engineer is the next highest-paying job in technology. It could refer to someone on the development team who is involved in deployment and network operations, or it could refer to someone on the operations team who is involved in application development.


5. Blockchain Developer
A blockchain engineer specializes in the design and implementation of blockchain-based architecture and solutions. The global spending on blockchain solutions is predicted to reach 15.9 billion by 2023, implying that blockchain specialists would be in high demand across industries and geographies.

Recommended Course : BlockChain Developer 2021

4. Software Architect 
A software architect streamlines the development process by mandating technical standards such as coding, tools, and platforms. They identify a customer's requirements and undertake hands-on work to produce prototypes as part of their job.

A software architect must have the following skills:
Modeling of data Knowledge of software architecture Excellent programming abilities

Recommended Course : Becoming a Software Architect

3. Engineer in Big Data
Every day, Internet users generate approximately 2.5 quintillion bytes of data. Over 97 percent of firms are investing in Big Data and AI to capture and acquire insights from such massive amounts of data.

A Big Data architect must have the following skills:
Getting to Know Hadoop, Spark, and NoSQL Recognizing data warehousing technologies Programming abilities Data visualization abilities Outstanding communication abilities

Recommended Course : Hands on Big Data

2. Internet of Things (IoT) Solutions Architect 
An IoT solutions architect is in charge of both leading and participating in architecture and design activities, as well as assisting in the development of an overall IoT ecosystem engagement based on the IoT Solution Framework and translating business needs into solution architecture requirements.

Recommended Course : IoT Mega Course

1. Data Scientist
Without a doubt, a data scientist is one of the highest-paying positions across companies and sectors. Demand for data scientists has increased by 29 percent year over year, with a remarkable 344 percent surge since 2013, and for all the right reasons. A data scientist examines and interprets complicated data to assist organizations in making more informed and timely decisions.

A data scientist should be able to do the following: Learn about Machine Learning algorithms. Make data models. Code in Python, R, SAS, and other analytic languages Recognize business difficulties and offer relevant solutions.

Recommended Course : Become Data Scientist

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