What does it take to pursue a Career in Machine Learning?
Machine learning is an advanced method of applying artificial intelligence (AI) to help systems or machines improve through experience, without actually being programmed. Over the last few years, machine learning has led to self-driven cars, speech recognition, efficient web searches, and a much better understanding of human genetics. The core concept is to teach a computer to use data to learn concepts and react to changing inputs without actually being programmed to do so.
Today, a lot of top engineering and computing science colleges in India are offering programs in machine learning combined with artificial intelligence. If you are serious about pursuing a career in machine learning, here is what you need to know to make that vision a reality.
Required Educational Qualification
To pursue a career in machine learning engineering, the most preferred educational qualification to have is a B.Tech in AI & Machine Learning. This program is bound to take you through the detailed intricacies of machine learning engineering. Look for a program where the college or university has knowledge partners or industry collaborations. This will go a long way in helping you get top-notch education and industry-relevant experience to pursue a successful career in machine learning.
Skills Desired in a Machine Learning Engineer
Machine learning engineering is a job profile that has a very high requirement of specific skills and knowledge. Technical skills are vastly required of a machine learning engineer, programming languages, statistics and linear algebra, advanced mathematics, neutral networks, language processing, and many such skills are an absolute necessity for you to become a successful machine learning engineer. Industry-relevant knowledge, communication skills, and prototyping, are some of the soft skills expected of a machine learning engineer. You must also regularly update your knowledge on the latest happenings in the field of machine learning.
Job Responsibilities of a Machine Learning Engineer
A machine learning engineer has a myriad set of job responsibilities based on their job profile. However, there are some basic responsibilities that every machine learning engineering should adhere to. A machine learning engineer has to learn and convert data science prototypes, design machine learning structures, study about and apply required machine learning tools and algorithms, run required tests and experiments pertaining to machine learning, undertake training of systems when required, and surpass current machine learning libraries and structures. As a machine learning engineer, you will be required to perform these tasks efficiently and appropriately.
Career Opportunities for a Machine Learning Engineer
There are a vast number of career opportunities in the field of machine learning in India and globally. No matter where you go, there will always be ample scope for you as a machine learning engineer. As and how you grow in the industry, gaining a few years of experience on your resume, the career opportunities in this field will become even more lucrative. Amazon, Facebook, Google, Microsoft, Accenture, Zensar Technologies, and IBM are some of the top global recruiters for machine learning engineers.