It was not a long time ago when science fiction and movies portrayed machines gaining higher intellect, taking over the planet and challenging human supremacy proved to fascinating storylines and at the same time created mass hysteria about the field of future science, but since the inception of the modern technological age we have seen an altogether different face of artificial intelligence very distance from its pop culture images. Apart from MBA and other fields, there is a promising field of artificial intelligence in the future! In this article we will put light on the various job profiles created in artificial intelligence and ponder upon the question, what is the scope of artificial intelligence in future?
Career Opportunities and Future Scope of Artificial Intelligence:
Artificial Intelligence or AI career opportunities have increased since the advent of the last decade, leading to its surging demands in industries. New sector of machine learning, assistance and automation technology has seen an unparalleled upsurge since the inception of AI and continues to prosper with the future scope of artificial intelligence application in such fields.
The push that AI will create multitudes of jobs and transform our daily lifestyles and educational system is justifiable as this field of work demands professions with specific technical skill sets but, as of now, this emerging sector is untapped in India.
Therefore, a career in AI looks more promising than any other profession available these days as companies are aware of the future scope of artificial intelligence, therefore demand the services of experts in huge numbers. But young graduates recognizing this pattern and shifting their focus towards this rising field are very limited.
Employers like major MNCs Amazon, Apple, IBM, major IT giants like AT&T, TCS and WIPRO, search engines and application conglomerates like Google and Facebook need AI to comply with their corporation’s technological and logistical needs. Thus, a career in AI should be in focus for young graduates.
Hence, we have compiled a list of possible job descriptions a graduate in management and technology can aim for after completing their graduation with the future scope of artificial intelligence in this current dynamic job market:
- Big Data Engineer
As the job title suggests the Big data engineers lay the foundational groundwork for any artificial intelligence system to function, their primary job profile includes being able to manage and segregate data in a virtual environment. Their key role is to build and efficiently administer big data of an organization, big data inputs include the basic information databases of a corporation and the various projects blueprints, reserves, and audits.
A big data engineer needs to make sure all these sensitive records and files can be accessed in a coordinated and resilient manner for the effective and maximum output of AI. A big data scientist needs to know the essential Programming languages like Python, R and Java. The aspirant needs to have a proper and thorough understanding of the data segregation, storage, and relocation in big complex digital constructions.
Big data engineers earn a better remuneration as compared to many other AI roles hence are highly sought-after fetching packages between 7.4 LPA to 12.3 LPA. Although many companies prefer PhD level computer and mathematical candidates for this intricate role, many renowned universities are offering diplomat and online certified courses in big data engineering increasing the scope and future expectations of this artificial intelligence field.
2. Business Intelligence (BI) Developer
A business intelligence developer’s role in an organisation is to develop, deploy, and maintain business intelligence systems and interfaces. A conglomerate’s AI on a daily basis handles a lot of data which accounts to its business holdings, sales volumes, marketing figures, budgeting, and all this data is stored in different parts of the AI.
A BI developer’s job is to put all this available AI data to use and develop systems to extract operational and useful data by identifying various business and trade trends, they need to expand a corporation’s earnings to develop future business strategies. Any BI developer requires an understanding of databases, data analysis, and software engineering amongst other skills. They also need to be aware of computer programming and data sets to acquire this position.
An entry level BI developer is expected to make anywhere between 5.6 LPA to 8.7 LPA based on their graduation specialized courses, making it an apt profession for youngsters who understand the future scope of artificial intelligence. Computer science engineers and MBA graduates with statistical and software backgrounds are highly demanded for this job profile.
3. Data Scientist
Given the modern market dynamics where data is the new currency and holds an detailed account of our day-to-day life events, there is always an increasing scope for Data Analysts in any sector, but it is the field of Artificial Intelligence which utilizes their skill sets to the maximum yield with respect to the future scope of artificial intelligence.
This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as feeding this information to the AI database and providing inputs to Big data engineers on the workings and needed updates in the system to increase its efficiency. Data scientists also work closely with BI developers and machine learning engineers to decrypt and study Artificial intelligence data to maximise future scope of artificial intelligence system speeds and models. They can easily be called the neural network of any artificial intelligence team.
This job profile may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science or business backgrounds. Graduates in BTech and BBA often opt for this profession earning packages between 5.3 LPA to 7.3 LPA as an entry level Data scientist.
4. Machine Learning Engineer
Machine Learning Engineers focus on designing self-running software for predictive model automation. For example, the best self-running models are of music and entertainment streaming platforms which give personalized recommendations based on a user’s interactions with the system algorithm.
The job profiles of both a Machine Learning Engineer and Data Scientist are very similar, in the sense that both roles consist of working with massive quantities of data. Hence, both Machine Learning Engineers and Data Scientists work in close collaboration with each other. Machine learning engineers need to study and convert user or interface into consumable prototypes for the AI to feed on it and generate unique user versions of itself in real time.
To become a machine learning engineer, good command in applying predictive models dealing with big data. Programming, statistical data analysis and mathematics are essential skills for a machine learning engineer. An entry level Machine learning engineer can easily earn from 5.8 LPA up to 9.3 LPA based on their graduation specializations making it an job profile suitable for professions realizing the scope of Artificial intelligence in future.
5. AI Data Analyst and AI Engineer
An AI data analyst’s job profile is to perform data mining, data cleaning, and data interpretation. By cleaning data, requisite data is collected to carry out data interpretation. Data analysts make sure the AI system runs to its maximum potential. They can easily be described as the maintenance facility of the AI system. They generally work under the Big data engineers and Data scientists. Mathematics, statistics, programming languages are a must haves in their skill sets.
AI engineers are the problem-solvers who build, experiment, and apply different prototypes and updates of Artificial Intelligence. They skilfully handle AI infrastructure under the Machine learning and Big data engineers. They make use of machine learning algorithms and understanding of the neural network to develop useful AI models. They need to possess coding and data handling skills.
In comparison to other AI roles, the salary is these job descriptions is quite low but the demand for these field-specific roles are ever-increasing because of the scope and future expectations of Artificial intelligence, making these stable professions where any aspiring entry-level employee can easily make between 3.6 LPA to 5.8 LPA.
What is the scope of Artificial intelligence in the future?
According to many reports, there has been a constant growth in the Artificial intelligence sector which has found new footings in fields like; Healthcare with advanced and precise diagnosis and treatment systems, Marketing by studying and finding effective ways to achieve sales target by making use of predictive intelligence along with machine learning and Education where AI has helped to create more investive and interactive personalized learning experiences. There are many more fields like sports, construction, manufacturing & production, and transport where Artificial intelligence is exceeding its expected future scope rates.
Thus, the scope of artificial intelligence is guaranteed to soar in the future. Career opportunities in artificial intelligence are constantly evolving, taking giant leaps in technology every day. So, if you are a professional fascinated by the modern world of Artificial intelligence, you should not be reluctant and try your hands on it!