Scope Of Machine Learning and Artificial Intelligence

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Does Artificial Intelligence and Machine Learning have a good career prospect in the future? 

 

The growing demand for Machine Learning (ML) and Artificial Intelligence (AI) in almost every industry is compelling employees across the globe to learn new skills in similar areas. It is said that AI and ML are expected to impact and transform our lives in ways beyond imagination similar to the internet. AI/ML will change the way we shop, communicate, travel, perform our routine tasks, and do our business. Do you know 'Jarvis' from the Iron Man movie? Yes, it's possible in real life! In fact, Facebook CEO Mark Zuckerberg spent 2016 building an Iron man style AI that controls his life. Zuckerberg's Jarvis uses several AI techniques, including natural language processing, speech and face recognition, and reinforcement learning.

 

Though, few may have confused that a career in Machine Learning is lucrative or not? In its report on AI/ML, PricewaterhouseCoopers (PwC) revealed that 31% of the executives are worried about the inability to meet the demand for AI/ML skills over the next five years. 

The confusion among the workforce across the globe is due to the rumors such as the AI/ML will steadily take over large sectors of the workforce and will bring mass-scale unemployment. However, it is not true as a report from the world’s leading research and advisory company, Gartner depicts that AI/ML is expected to pave the way for close to 2.3 million jobs by the year 2020.

AI professionals trained in the field of Machine Learning are in very high demand. Almost every startup (software-based), as well as a large enterprise, wants to hire skilled Machine Learning professionals. So, if a person wants to get a job in the field of Artificial Intelligence, it is the best time to upskill with one of the crucial aspects of AI, named machine learning.

 

Here is a list of the few most in-demand jobs for Machine learning aspirant in the industry right now:-

1. Data Scientist:

The data scientist has been called “the sexiest job of the 21st century,” presumably by someone who has never visited a fire station. Nonetheless, data science is a hot and growing field, and it doesn’t take a great deal of sleuthing to find analysts breathlessly prognosticating that over the next 10 years, we’ll need billions and billions more data scientists than we currently have.

 

2. Machine Learning Engineer: 

Machine learning engineer is responsible for designing and implementing machine learning algorithms. They are most sought by companies and are immediately recruited for operations if found suitable.

 

3. Data Analyst: 

A Data analyst first acquires information about a specific topic, then interprets and analyze it, and at last present the findings in the form of comprehensive reports.

 

4. Data Architect: 

Data Architects develop, construct, test, and maintain highly scalable data management systems using Machine Learning algorithms.

 

Average Salaries:

The Salary packages of Machine learning professionals depend on their qualifications, job roles, job profiles, and years of experience. The annual package of a fresher usually lies between 5 lakh to 9 lakh per annum (as per Payscale.com). Below is the table depicting the average salary packages offered to different job roles of machine learning professionals.

 

 

Some of the Top Recruiters in this industry are:

  • Amazon
  • Google
  • Facebook
  • Apple
  • Microsoft
  • Bosch Group
  • Adobe
  • Accenture
  • Wipro
  • JP Morgan Chase & Co.
  • Uber

 

 

 

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