What are the Job Opportunities after Completing AI and Machine Learning Course?

As we see newer technologies paving their way into our lives and everyday working, we do not find it odd anymore to see that a lot of our daily tasks have become quite easy thanks to the emerging and existing technologies such as AI (artificial intelligence) and ML (machine learning).

AI is one of the most optimistic technologies of all times and hopes to produce some of the finest, most exciting and benefitting revolutionary inventions of all time.

Currently, some of the leading products of this new AI revolution include robot assistance, digital disease diagnostics and self- driven vehicles. Since the demand for qualified, trained and certified engineers has almost doubled in the last few years, endless opportunities are being provided in the research and development in AI.

In the years to come, it is pretty obvious that a lot of employment will be generated thanks to the coming and blooming of artificial intelligence and machine learning.

But the question still remains that what are the job opportunities after completing AI and Machine Learning course. And with this article, we intend to give you a whole list to help you find out whether this field is the right one for you or not based upon your career job role preference. Let’s begin now!

1. Data Scientist

The duties of a data scientist are many and includes collection, interpretation and analysis of data for the purpose of observations and inferences, leading to the development of successful solutions for all the market issues at hand.

Artificial intelligence and machine learning are two of the central components of data science and thus, will play a huge role in your job profile of a data scientist as well.

1. Research Scientist

If you have a PhD or a Masters degree in Informatics or Mathematics, then tis is the field which will give you immense growth in your career. Research scientists today are working on extensive studies related to computational intelligence and machine learning systems.

The salary bracket if a research scientist is quite high and the companies that open up this position are varied too. Hence, you will definitely need a strong AI background to be even considered for this job role but once you do, your life will change for the better. In the years to come, a research scientist’s value is only bound to increase.

1. AI Data Analyst

If you at least have a bachelor of arts in computer science or mathematics, then you can think about moving ahead with this job role of AI data analyst. You should also possess extensive knowledge about regression as well as possess the ability to use MS Excel at the back of your hands.

The demand for AI data analysts is quite steady but the future is not clear. Thus, if you think you can find a job role more fit, then you can steer in that direction too.

1. Robotics Scientist

Robots are the future and their advent will lead to reduced manual labour needs. However, that does not mean employment rate in such industries would decrease. In fact, they would grow as it is the job of a robotics scientist to strive to find this balance.

If you wish to apply for the job of a robotics scientist, you must have a masters degree in engineering, computing or robotics. One of the key advantages of that the wage of a robotics scientist is pretty high as well as the future is impressively bright.

1. Machine Learning Engineer

Machine learning engineers are needed everywhere as they come with the knowledge of statistics, language analysis, math, applications and many more. Wherever creating and managing self- operating applications promoting machine learning projects is found, the need for machine learning engineers is also seen.

It preferable for a machine learning engineer to have a master’s degree in computer science or mathematics. Knowledge of Python, Java, Scala and R stacks is commonly asked for. the salary package is great and the demand is ever- increasing.

1. Business Intelligence Developer

The job a business intelligence developer is to identify the existing market patterns by analysing humongous data sets. Their pay is great and if comes as no surprise that the market scope of this field is only going to get better with time.

You should have a bachelor’s degree in engineering, computer science or mathematics. Along with this, you should have impeccable intellectual abilities and problem- solving skills.

1. Big Data Engineering

The job scope of a big data engineer includes building environments that promotes business processes to communicate in an effective manner. If you enjoy experimenting and working with modern technological tools, then this is the field for you. For a career in AI, getting started with programming languages such as R, Java and Python is what you need to do.

Get started today in a field which is expanding with every day that is passing by getting trained by experts at Grras Solutions. Enroll with this institute to get access to some of the finest learning in artificial intelligence and machine learning.

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