Skip to main content

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.
Labels:

Comments

Post a Comment

Popular posts from this blog

SEO - SEARCH ENGINE OPTIMIZATION

What is SEO? SEO stands for  Search engine Optimization , which is the practice of increasing the  quantity  and  quality  of traffic to your website through  organic search engine results . What goes into SEO? To understand the true meaning of SEO , let's break that definition down and look at the parts: Quality of traffic.  You can attract all the visitors in the world, but if they're coming to your site because Google tells them you're a resource for Apple computers when really you're a farmer selling apples, that is not quality traffic. Instead you want to attract visitors who are genuinely interested in products that you offer. Quantity of traffic.  Once you have the right people clicking through from those search engine results pages (SERPs), more traffic is better. Organic results .  Ads make up a significant portion of many SERPs. Organic traffic is any traffic that you don't have to pay for. Organic search traffic is spe...
1 comment
Read more

OFF PAGE SEO

Off-Page SEO What is off-page SEO? "Off-page SEO " (also called "off-site SEO") refers to actions taken outside of your own website to impact your rankings within search engine results pages (SERPs).   Optimizing for off site rankings factor involves improving search engine and user perception of a site's popularity, relevance trustworthiness    and authority . This is accomplished by other reputable places on the Internet (pages, sites, people, etc.) linking to or promoting your website, and effectively "vouching" for the quality of your content. Why does off-page SEO matter? While search algorithms and ranking factors are constantly changing, the general consensus within the  SEO community is that the relevance, trustworthiness, and authority that effective off-page SEO affords a website still play a major role in a page's ability to rank. While we don't know the full algorithm Google uses to rank content , data from ...
2 comments
Read more

SOCIAL MEDIA MARKETING

Social Media Marketing: The Ultimate Guide But why is social media  marketing so important?  Why should you spend time creating social media accounts for your business? ? In this guide, we’ll cover the answers to all of these questions — but first, let’s define social media marketing. What Is Social Media Marketing? Benefits of Social Media Marketing Create a Social Media Marketing Strategy Social Media Marketing Resources What is social media marketing? Social media  marketing is the action of creating content to promote your business and products on various social media platforms such as Facebook , Instagram, and Twitter. Your unique content should be tailored to the specific platform it’s being shared on to help you boost conversions and increase brand awareness. Social media marketing is all about meeting your target audience and customers where they are and as they socially interact with each other and your brand. While social media marketing as a whole...
1 comment
Read more

SEM- SEARCH ENGINE MARKETING

Search Engine Marketing (SEM): What It Is & How to Do It Right Search engine marketing , or SEM, is one of the most effective ways to grow your business in an increasingly competitive marketplace. With millions of businesses out there all vying for the same eyeballs, it’s never been more important to advertise online, and search engine marketing is the most effective way to promote your products and grow your business. In this guide, you'll learn an overview of search engine marketing basics as well as some tips and strategies for doing search engine marketing right. Search Engine Marketing – An Overview search engine marketing is the practice of marketing a business using paid advertisements that appear on search engine results pages (or  SERPs ). Advertisers bid on keywords that users of services such as Google and Bing might enter when looking for certain products or services, which gives the advertiser the opportunity for their ads to appear alongside results f...
1 comment
Read more

ON PAGE SEO

On-Page SEO Basics What is On-Page SEO? On-page  SEO (also known as “on-site SEO”) is the practice of optimizing web page content for search engines and users. Common on-page SEO practices include optimizing title tags, content, internal links and URLs. This is different from Off page SEO , which is optimizing for signals that happen off of your website (for example, back links ). Why is On-Page SEO Important? Does traditional on-page SEO still make a difference in 2020? Yup! Even though Google is MUCH smarter than it was back in the day, they still use old school stuff (like looking for a specific keyword on your page). And there’s data to back this up. Our analytics of 1M Google Search  found a correlation between keyword-rich title tags and first page rankings. And if you search for any competitive keyword, you’ll notice that the top ranking pages almost all use that exact keyword in their title tag. That said: There’s more to on-page  SEO than cramming k...
Post a Comment
Read more