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Career in AI

Artificial intelligence is the fastest growing technology. Robots are taking part of the humans to solve complex problems. 
        Many of us want their career in AI. But they are troubled up with many questions. If someone does not so perfect in programming, but he/ she wish to be his/her career in AI. That, programming is required for AI ? Which qualities to be required to get expert in the field of AI. & many more questions in your mind.
         As AI is the fastest growing and world wide spread technology, anyone can make their career in AI.
         The qualities or the skills  to be required for an expert in the career of AI are as belows :


 1.Sound mathematical & Algorithmic reasoning.

To be an ideal candidate in AI, you need to have solid knowledge of applied mathematics and a set of algorithms. Having proficiency in problem-solving and analytical abilities will help you in performing tasks in a more efficient way.

You must also have reasonable knowledge of statistics and probability. This helps in understanding various models of AI, like Naive Bayes, Gaussian Mixture Model,



2.Basic Knowledge Of programming languages

Programming languages are to an AI specialist what accountancy is to a Chartered Accountant. Ability to code in C++, Python, Java, R, etc is one of the top skills required to build a career in artificial intelligence. Each language has its own uses in this field. While R is used to develop statistical software and conduct data analysis, Python is used to develop complex algorithms easily



. 3.Robotics

We are moving towards a more automated world. And robotics is going to play a major part in the automation process. You should be well versed with robotics, as it is the outcome of development in AI.



4.knowledge in Data Science

You should have a fair knowledge of data science as well, as AI experts use it to deal with large amounts of datasets (big data) and derive useful information in a fast and systematic manner.



5.Good Knowledge of Unix Tools

Unix tools like awk, cut, tr, find, etc are responsible for most of the processing in AI that happens in Linux based machines. So, a programmer must know how these tools function.



6. Well-Versed with Machine Learning

Machine Learning, as we all know, is a subset of AI. You should be acquainted with ML, as it is applied in cybersecurity and online fraud detection, rapid analysis and prediction, etc.



7. You should be Inquisitive and Creative

Being creative and curious is going to help you in finding solutions to specific problems, as you will be able to crack them by using unconventional methods.



8. Passionate and touch to current updates

AI is a field that is experiencing growth with every passing second. An AI professional should be regularly in touch with all the current updates of the industry. To enhance his/her skills, one must be a part of tech communities, and forums, and actively participate in those. They can also learn from online courses or tutorials.

             Aspiring AI professionals must have a passion to keep themselves updated with the latest developments in the tech industry. They should put efforts in order to update their skills and be familiar with the advanced development tools, theories, algorithms, etc.



9.Efficiency In Distributed Computing

Majority of the AI jobs require programmers to deal with large data sets which they can't process using a single machine. Therefore, it has to be equally distributed across an entire cluster. This makes it essential for the engineers to be efficient in distributed computing so that to sharpen their skills as an AI professional.



 10.Expandinge Knowledge Of Advanced Signal Processing Techniques

ML has feature extraction as one of its integral aspects. For mastering this, engineers need to be familiar with solving different problems through advanced signal processing algorithms such as bandlets, wavelets, curvelets, shearlets, contourlets, etc.

In addition, they should have a core understanding of time-frequency analysis and discover ways to implement it for their problems. Also, they should be well-versed with concepts like Convolution and Fourier Analysis.



11.Innate Curiosity and Creativity

In order to excel in the AI domain, programmers need to have a curious and creative mindset. This helps them in discovering novel ways to approach specific problems and coming up with creative solutions for cracking them. Also, it allows them to grab abstract information efficiently and be clear with the possibilities to process it well.



12.Grasp new concepts quickly

In addition, they should actively participate in various online forums, blogs, and communities which are specifically developed to cater to AI professionals. Also, they should go through online AI tutorials, conferences, video courses, etc. to enhance their niche expertise in the concerned field.

There are some extremely popular papers available online such as Google Big Table, Google Map Reduce, The Unreasonable Effectiveness of Data, and Google File System. Programmers should read these for sharpening their AI knowledge. Also, they can go through various free Machine Learning digital books to grab a good job in the thrilling AI development domain.



13.Perseverance and Patience

AI and ML are fairly new technologies where the experts are still striving hard to discover new tools and methods for making the community much more efficient. This is why engineers should have a persistent attitude which is beneficial for making them patient enough to cope up with several months and countless iterations to achieve accurate results.

They should be passionate and pumped up with a spirit of never giving up on trying hard to up-level their skills to stay abreast of new developments and stay on the forefront in the AI domain.

Finally, it's important for engineers to be zealous about their new career move. They should feel confident enough to make a smooth transition into the AI development domain and explore this highly dynamic and promising field.



14.Knowledge of Advanced Signal Processing Techniques

One of the key traits of Machine Learning is its feature extraction process, which allows the transformation of pixel values into meaningful data or information. Now, to master this, you must be accustomed to solving problems using advanced signal processing algorithms. Also, to hold a substantive understanding of the time-frequency analysis, you must work on projects that could help you understand these in a better way. Eventually, you will need other important AI concepts such as Fourier analysis, convolution,




15.Management and Leadership Skills

One of the key AI Engineer skills that every AI professional should possess is management and leadership skills. Acquiring these will allow you to access, analyze, and utilize your internal team members in an efficient way, thus, enhancing the overall productivity of the project.



To become a successful AI engineer, you need a mix of technical and soft skills.

Technical skills -

  • Programming while you could excel at AI engineering with any programming language, python is the most recommended and is also widely used.
  • Robotics
  • Physics, engineering and mathematics, algorithms, statistics, probability, logic
  • Coding and programming languages
  • Graphical modelling
  • Cognitive science. This borrows from different fields and promotes understanding of how mental processes work.
Soft skills - 
  • Systematic and analytical approach to thinking
  • Problem solving mentality.
  • You should have foresight to conceptualization how solution can increase efficiency , cost effectiveness and add competitive advantage
  • Great communicator and team player who can translate technical aspects to an environment full of non technical  employees
  • Ability to translate digital knowledge into product that can benefit human beings.
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