Career Opportunities in Artificial Intelligence
There is no specific definition of Artificial Intelligence. AI is the simulation of human intelligence in machines. These are programmed to think as humans and mimic their actions as well. AI is an interdisciplinary science having multiple approaches. It adds to the advancements in machine learning and deep learning creating a paradigm shift in the tech industry.
AI focuses on the ability to rationalise and take actions in order to achieve a specific goal. The sub-branches of Artificial Intelligence include machine learning and deep learning. Machine Learning refers to the concept of computer programmes that can learn automatically and adapt to new data without any further assistance by humans. Deep Learning focuses on automatic learning by absorption of huge amounts of unstructured data such as text, images and videos.
In this article, we will learn about numerous career opportunities in artificial intelligence. After gaining an AI degree, aspirants may start looking for Artificial Intelligence freshers jobs. Artificial Intelligence is considered as a futuristic career option. It means it will generate numerous artificial intelligence engineer jobs.
Types of Artificial Intelligence
There are majorly four types of Artificial Intelligence. We have provided here a description of each type of Artificial Intelligence.
Reactive Machines: Reactive Machines follow the most basic AI principles. It utilises its intelligence in order to perceive and react to the real world. A Reactive Machine can-not store a memory and it can-not rely on past experiences to make informed decisions. Reactive Machines are not capable of storing memory, hence it can-not rely on past experience to make real-time informed decisions.
Limited Memory: Limited Memory Artificial Intelligence has the capability to store previous data and predictions while it is gathering information and weighing potential decisions. It usually looks into the past to have an idea of what may come next. LMAI is more complex and it presents greater possibilities as compared to Reactive Machines. It is created by consistently providing training to a model by analysing and utilising new data or building an AI Environment for automatically training models and renewing them.
Theory of Mind: Theory of Mind is more theoretical. The concept behind it is based on the psychological premise of understanding that other living creatures have variations of thoughts and emotions that affect their behaviour. AI could comprehend how humans, animals as well as other machines feel and make informed decisions based on self-reflection and determination. It further utilises the information to make their own decisions. Machines must be able to grasp and process the fluctuations of emotions in decision making in real time. It creates a two-way relationship between people and artificial intelligence.
Self Awareness: After establishing the Theory of Mind in artificial intelligence, the final step for Artificial Intelligence is to become self- aware. Self- Awareness here means AI having the human-level of consciousness and understanding of its own existence in the world. As well as being conscious of the presence and emotional state of others. It includes the understanding of what others may need by recognising what others communicate and how it is communicated.
Artificial Intelligence Career Options
There are numerous jobs in artificial intelligence field. Aspirants may search with keywords such as artificial intelligence jobs for freshers, jobs for AI engineer and others on recruitment websites such as Naukri.in, LinkedIN, Indeed, Glassdoor and others.
Data Scientist: A Data Scientist is responsible for extracting, analysing and interpreting large amounts of data from various sources. He or she plays various roles such as mathematician, statistician, scientist and computer professional. A Data Scientist utilises his or her knowledge of algorithms, artificial intelligence, data mining, machine learning as well as statistical tools.
Qualifications: B.Tech. in Data Science
Average Salary: The salary of Data Scientist varies depending on various factors such as candidates’ skills, knowledge and employing organisation. The average Data Scientist salary in India is Rs. 835,911 per annum.
(Salary Source: Indeed)
AI Developer: An AI Developer is a professional concerned with the design, development and deployment of AI-based systems. He or she has to stay up-to-date with the latest advancements in the Artificial Intelligence field. An AI Developer is responsible for building the accompanying infrastructure of AI models such as ingesting and transforming data as well as creating data lakes.
Qualifications: B.Tech. in Computer Science, B.Tech. in Artificial Intelligence
Average Salary: The salary of an AI Developer varies depending on candidates’ skills, knowledge and employing organisation’s size and structure. The average AI Developer salary in India is Rs. 933030 per annum.
(Salary Source: Glassdoor)
ML Engineer: An ML Engineer is responsible for researching, building and designing self-running software to automate predictive models. He or she builds artificial intelligence (AI) systems that leverages huge data sets in order to generate and develop algorithms capable of learning and making predictions accordingly. Machine Learning assesses, analyses and organises data as well as executes tests and optimises the learning process to develop machine learning models.
Qualifications: B.Tech. in Machine Learning
Average Salary: The salary of an ML Engineer varies depending on various factors including candidates’ skills, knowledge and employing organisation. The average ML Engineer salary in India is Rs. 895699 per annum.
(Salary Source: Glassdoor)
Big Data Engineer: A Big Data Engineer is responsible for designing and developing data pipelines. He or she is behind the collection of data from various sources. Such organised data sets are further utilised by data analysts, business analysts and data scientists. A Big Data Engineer identifies, extracts and delivers data in a usable format. He or she has to ensure that extracted data is valid. Big Data Engineers provide assistance in resolving ambiguities in the data.
Qualifications: B.Tech. in Big Data, B.Tech. in Data Science
Average Salary: The salary of a Big Data Engineer varies depending on various factors such as individuals’ skills, qualifications, knowledge and prior experience. The average salary of a Big Data Engineer in India is Rs. 775270 per annum in India.
(Salary Source: Glassdoor)
BI Developer: A BI Developer utilises data analytics and technology to share valuable business information with the upper management or decision makers in the company. He or she creates and maintains the organisations’ software tools used for guiding business strategies. A Business Intelligence Developer researches, develops and builds dashboards as well as other tools. With the assistance of these tools users can run analytics, create visualisations and build data models.
Qualifications: B.Tech. in Business Intelligence, B.Tech. in Computer Science, B.Tech. in Artificial Intelligence
Average Salary: The average salary of BI Developer varies depending on candidates’ work experience, employing organisation’s size and structure. A BI Developer earns an average salary of Rs. 594262 per annum in India.
(Salary Source: payscale.com)
Conclusion: Artificial Intelligence is a sub-branch of computer science. It offers numerous futuristic career options with handsome salaries. In upcoming years, numerous businesses will start relying on AI to make informed decisions as machines will start imitating human intelligence. Machine Learning, Deep Learning, and Data Science are sub-branches of Artificial Intelligence that will make a greater impact in the near future.