A career in Machine Learning and AI is one of the highest paying jobs in the country. In 2020 and the years ahead, it has been forecasted that a machine learning career and a career in AI will be among the most demanded job profiles due to the technological boom. Machine learning and AI experts are not only required in the technological industry, but also have great scope in the fintech, travel, banking, marketing, retail, and hotelier business due to its untapped reserve of potential. Artificial intelligence makes life and operations more convenient for organizations, no matter what niche they belong to, by introduction themes such as conversational AI, smart hotels, safe financial transactions, and futuristic marketing tools. The adaptive nature of machine learning and AI is what makes it so popular and profitable. However, it requires an individual with the correct plan and course of action to pursue a career in Machine learning and AI. If you love mathematics, statistics, coding, and other technical subjects, this is a great career choice for you.
How does one become a Machine Learning and AI expert? Read on to find out!
Job profiles as a machine learning and AI professional
Below you will find a list of designations along with their respective industrial average salaries listed. Keep in mind that the industries pay higher than the average since there are fewer skilled machine learning and AI experts than the requirement in the country. You stand a chance to work for great organizations such as Amazon, Myntra, Flipkart, Deloitte, Accenture, IBM, and other big names located pan India in cities like Hyderabad, Mumbai, Bangalore, and Gurugram.
- Principal Data Scientists: Rs. 17,11,180
- Computer Scientists: Rs. 16,24,615
- ML Engineers: Rs. 9,50,000
- Data Engineer: Rs. 8,35,755
- Data Scientists: Rs. 6,99,928
- Research Engineers: Rs. 6,52,230
- Algorithm Engineers: Rs. 5,40,220
- Data Analysts: Rs. 4,97,550
- Computer Vision Engineers: Rs. 4,50,000
Skills required to become a Machine Learning and AI expert
There are a certain number of skills that a student is required to possess to pursue a career in AI and Machine Learning, because it is a very technical niche that intersects with various other subjects apart from science-based themes. There is industry specific knowledge required to be great at your job, for example knowledge in finance, economics and statistics is important to be an AI expert in the fintech industry. Below are the basic domains you will required to excel in order to become a Machine Learning and AI expert:
- Mathematics: Algebra, Calculus, Logic and Algorithms, Probability, And Statistics.
- Computer Science: Proficiency in Coding in Multiple Programming Languages
- Bayesian Networking; Including Neural Nets
- Cognitive Science Theory
Eligibility for an AI career
To be eligible to pursue a course in Machine Learning and a career in AI, you need to complete your 12th from the science stream. A major in computer science will help you with an advantage as you will have an early experience of coding languages and mathematics.
Courses to pursue a career in machine learning
To pursue a career in AI and Machine Learning, you will need a bachelor’s degree in Mathematics, Computer Science, Information Technology or Statistics. To pursue a senior level career in AI and Machine Learning, you will be required to complete your master’s degree or a Ph.D. in one of these disciplines. To learn various programming languages and more about Artificial Intelligence, you can choose short courses, a diploma or a postgraduate diploma in Machine Learning and AI from known universities like IIT, NIIT and C-DAC. There are several online and offline courses available for you to learn these languages and techniques to make you a skilled professional.
Keep in mind that many of the degree and diploma courses have entrance examinations and provide admissions on merit basis, so doing your research, preparation and dedication towards your career goal are very essential.
Wrapping up, a career in Machine Learning and AIis completely reachable and has a very lucrative future waiting for you. If you put in the work, you will definitely see yourself working with great organizations in the next five to six years after your degrees. If you want to explore a career in careers like being a Data Science or Python Developer, follow our career guides.
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