Why Pursue a Career in Machine Learning

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WHY PURSUE A C A R E E R I N M AC H I N E LEARNING


MACHINE L ANGUAGE IS THE TECH OF THE This advanced technology is here to stay for many U T UtoRcome. E The ML applications that we moreFyears have designed and developed so far have barely scratched the surface of this incredible technology. The wide scope and range of CETPA Machine learning course are defi nitely going to see an increase in the future.


YO U G E T T O W O R K O N R E A L C H A L L E N G E S

If you are analytical and have a curious bent of mind, then you will surely enjoy working in the field of Machine Learning. As an Machine Learning engineer, you need to work on real-life challenges and find solutions. Identifying the problem and finding technological solutions to the problems will feel very satisfying. Even better is that, your tech solutions may help business improve their profit margins, deliver better quality services/products, and help improve process productivity. 3


YO U ’ L L F I N D P L E N T Y O F C A R E E R O P P O RT U N I T I E S

The career prospects for certified machine learning professionals are excellent. After completing a machine learning course, a fresher can join an organisation at the entry level. Experienced professionals, on the other hand, can find job opportunities in mid and senior level job profiles based on their experience, background and expertise. As more and more industries start using ML-based solutions, career opportunities will keep increasing. 4


H I G H E R S A L A RY According to Payscale, a machine learning working professional gets around Rs. 6, 93,846 per annum which is more than any other similar domain. With experience and knowledge, your CTC will increase every year; in just 56 years you will be earning more than 11 lacs per annum! https://www.cetpainfotech.com/technology/machine-learning


YO U C A N E X P L O R E OTHER DOMAINS IN D ATA S C I E N C E

If you want to re-chart your career path, you can start exploring the other domains in data science. You can choose to work as a data scientist or learn deep learning to become a DL engineer or neural network professional. There are plenty of options that you can explore to expand your career path.


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