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Top AI job profiles

       AI is the vast and developing day by day. It creating many and more opportunities for the today's engineers. There are various opportunities where engineers can glow their career.
            In the last post we had seen the key aspects or the technical or non technical skills required to be expert in the field of AI. In this article, we going to discuss about the job areas where, we can grow our career as AI expert in the field of AI.
Because Artificial intelligence is the future of world!!


                Most of the big tech companies like Amazon, Apple, Microsoft, Google etc. are in search to investing their products and services through AI. 
          So, AI is the need of today's world.


If u want to go fast,
Go alone.
If u want to go far,
Go with others!


Now, let's enjoy the journey through the job profiles of AI.


1. AI data analyst

As an AI Data Analyst, you will be responsible for data mining, cleaning the data to acquire related data and discard irrelevant information, and interpret results by using statistical tools and techniques. Noticing major trends will help you in identifying future opportunities.

Proficiency in MS Excel is also necessary, apart from knowledge of regression. A data analyst earns approximately ₹3 lacs to 1 million per annum.



2. Big Data Engineer


A big data engineer assists in developing an ecosystem that facilitates communication between business systems. They create a company’s big data and manage it, along with getting results from big data, or huge amounts of data in a faster manner.

To become a big data engineer, you must have a sound knowledge of programming languages, mainly RJavaPython, and C. You should be able to build applications that work on a large scale, and conduct data warehousing. Possessing Apache Spark skills and SQL skills is also helpful.



3. Business Intelligence Developer


A business intelligence developer is responsible for improving the profitability of the business, by planning, building, and sustaining business intelligence solutions.

They should be familiar with computer programming and dealing with data sets. BIDs also present the information in a visualized manner. The average salary of an entry-level business intelligence developer starts from ₹5 lacs a year.


4. Data Scientist


Data scientists use machine learning and predictive analytics to collect, analyze and interpret huge chunks of data. You can predict the future on the basis of current and past trends and patterns in data.

Data scientists should be well acquainted with tools like Hadoop, Spark, Hive, etc, as well as languages like Python and SQL. A data scientist beginner earns about ₹ 4.5 to 6 lacs p.a.


5. Machine Learning Engineer


The role of a machine learning engineer mainly revolves around programming and computing. You will build and manage platforms that enhance machine learning.

A machine learning engineer should be able to work with programming languages such as JavaPython, and Scala. As an ML engineer, you will earn approximately ₹7-8 lacs p.a.



6. Product Manager


A product manager in the AI field is majorly responsible for solving problems by strategically acquiring datasets.
To become an AI product manager, you need to have knowledge on how to identify problems, acquire data and interpret and evaluate its impact on business. The average salary of a product manager in India is approximately ₹ 8 lacs p.a.



7. Research Scientist


A research scientist is an expert in applied mathematics, machine learning, and deep learning.  You must have a good amount of knowledge about reinforcement learning and NLP. Most research scientists are expected to have a Ph.D. or at least hold a master’s degree in computer sciences. A research scientist can earn about ₹6-16 lacs p.a.


8. Robotic Scientist

Robots can automate jobs, but they require programmers working behind the scenes to ensure they function well. Robotic science is used for multiple functions from space exploration, healthcare, security, too many other scientific fields. Their primary function is to build mechanical devices or robots who can perform tasks with commands from humans. Other necessary skills required for this role include writing and manipulating computer programs, collaborating with other specialists, and developing prototypes.

Median Salary: $83,241


9. Business Intelligence Developer

Business intelligence developers are in high demand. Their primary job is to analyze complex data and look for current business and market trends, thereby increasing the profitability and efficiency of the organization. Not only are they masters of strong technical and analytical skills, but they also have sound communication and problem-solving skills. They are responsible for designing, modeling, building, and maintaining data for complex, extensive, and highly accessible cloud based platforms.


Conclusion :

Finally in conclusion, we have seen how to grow career in AI and Companies hiring artificial intelligence professionals. AI is in the process of disrupting the industry and changing the way, the world as we know. The above-listed jobs are going to be the norm in the future. It is up to us to decide whether to take that extra step forward and embrace it or wait for it to come to us until which it might be too late. Speak recognize use Mechanism of phonology ( speech sounds) syntax (gramatic) understand the meaning of the things made of the sound and the understanding of pitch rhythm use and understand relationships in absence and according or objects bush yells on that person for many of the day.


Which Companies Hire AI Professionals?

Being an AI professional is sure a fancy job, but which companies actually hire for this profile? Here is a list of companies which hire AI professionals:

  • Accenture
  • Jaguar Land Rover
  • NVIDIA
  • Amazon
  • Microsoft
  • Google
  • Facebook

Jobs in the AI world are increasing swiftly. There may be many vacancies and opportunities in the AI industry, but there is no denying the fact that there is also a vast shortage of skilled talent.

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