To begin, let us clarify what Artificial Intelligence is in order to better understand the subject of AI Engineering. In artificial intelligence, the copying of human intellect into computers is referred to as AI (Artificial Intelligence). In order to mimic human activities or to do professions that are equivalent to those performed by people, machines are conceptualised and built from the ground up. A vast subject of transdisciplinary study with multiple subfields, it is referred to as It is, however, primarily concerned with the discipline of Computer Science and related fields. In the field of artificial intelligence, AI engineers are responsible for the creation and testing of artificial intelligence models, as well as the upkeep of the infrastructure that supports them.
It is their intention to combine both traditional software development methodologies and machine learning techniques to solve the problems they are facing. Machine Learning is a novel problem-solving technique based on algorithms that uses data analysis to learn rather than programming an action through a series of stages. Rather than programming an action through a series of stages, Machine Learning uses data analysis to learn rather than programming an action through a series of stages. This profession necessitates the use of a specialisation in software development, programming, data science, and data engineering. These professionals create artificial intelligence models based on machine learning algorithms in order to get business insights that may be used to make strategic business decisions at the organisational level.
So artificial intelligence engineers have the skill-sets required to develop advanced machine learning models that can provide valuable recommendations and insight into future issues or decisions that will have a significant impact on the organisation, establishing them as an integral part of the process.
To become an Artificial Intelligence Engineer or AI Expert, here are the steps you can follow:
Typical day at work
Abilities and Aptitude needed
Artificial Intelligence engineers in India can vary based on experience, location, company size, and industry. AI Engineers are in high demand, and their salaries are generally competitive compared to other engineering roles.
On average, the monthly salary for an Artificial Intelligence Engineer in India can range from INR 50,000 to INR 1,50,000 or more.
Here is a rough breakdown of salary levels based on experience:
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Various statistics such as LinkedIn’s Emerging Job Report, 2020 Emerging jobs Report etc states that the demand for AI jobs are increasing and the number of professionals is not up to the mark. The growth had been recorded 74% in the last four years. Nowadays AI is mostly used in industries such as Healthcare, Education, Marketing, Retail and E-Commerce, Financial Markets and Services etc. The average salary in India is 7 TO 8 Lakh per annum.
The salary varies according to the experience in years and the organisation. The undergraduate and graduate programmes in computer science, statistics, applied mathematics, cognitive science, engineering, physics, robotics etc are considered the groundworks for the AI careers.
As an AI Engineer you may get jobs in the following field: One may work in data analytics as an artificial intelligence engineer:
Finding significant patterns in data by looking back in time to aid in forecasting the future. Work with items to ensure that consumers understand their functions and can readily utilise them. Learn how humans utilise technology and how computer scientists may use this knowledge to create more complex software. Chatbots and virtual assistants are examples of natural language processing. To design programmes that use AI technologies, you`ll need to be a researcher or a research assistant. Developer of business intelligence (BI) software who analyses large data volumes to find business and market trends. Engineer/Architect of Big Data Systems that creates systems that enable firms to interact and aggregate data.
1: Is AI engineering a good career choice?
Answer: Certainly! AI engineering presents a highly promising and rapidly growing career field, in high demand and with a bright future. As organizations continue to embrace AI technologies, the need for skilled AI engineers is anticipated to soar. These professionals can find rewarding opportunities across various industries and domains, including healthcare, finance, manufacturing, and more, with ample room for career advancement and personal development.
2: Is AI engineering a challenging field?
Answer: Indeed, AI engineering can be quite demanding, especially for individuals new to the field with limited experience in computer science, programming, and mathematics. However, with the right training, dedication, and consistent practice, anyone can master AI engineering. It requires a solid foundation in computer science, proficiency in programming languages like Python, knowledge of machine learning algorithms, and experience in data management and analysis.
3: Can one become an AI engineer without a degree?
Answer: While a degree in a related field can be beneficial, it is possible to become an AI engineer without one. Many successful AI engineers have computer science, mathematics, or statistics backgrounds. Moreover, an increasing number of online courses, boot camps, and training programs offer practical experience in AI development. What's essential is a strong understanding of programming, data structures, and algorithms, as well as a willingness to continuously learn and stay updated with the latest developments in the field.
4: What is the typical timeline to become an AI engineer?
Answer: The time required to become an AI engineer depends on factors such as one's current level of knowledge, prior experience, and the chosen learning path. On average, aspiring AI engineers should invest around 6 to 12 months to acquire the necessary skills and knowledge. However, the duration may vary depending on the intensity of the learning program and the amount of time devoted to it.
5: How can I pursue a career in AI after completing 12th grade?
Answer: To embark on a career in AI after completing 12th grade, consider pursuing a bachelor's degree in computer science, data science, or AI. Focus on mastering programming, mathematics, and machine learning concepts. Additionally, explore opportunities for higher education and certifications to specialize in AI and enhance your expertise in the field.
6: What is the average AI engineer salary in India?
Answer: The salary of an AI engineer in India can fluctuate based on various factors such as experience, location, and the organization they work for. Generally, entry-level AI engineers can anticipate a salary ranging from INR 6 to 10 lakhs annually. Their salary can increase significantly as they gain experience and expertise, reaching several lakhs or even more, contingent upon their skills and the company's policies.