How to Become a Machine Learning Engineer in 2022?
Introduction
It’s a well-known fact that Machine Learning is a profitable and requisite skill to have in 2022. According to Glassdoor, machine-learning engineer salary is within the range of 7.5 to 8 lakh per annum. With such a competitive salary package, you can be interested in becoming an ML engineer.
Well, landing a machine learning engineering job is not that easy and has its challenges. There are skills and experience you need to be eligible to fall into a variety of different job titles. In this article, we will be highlighting the important machine-learning engineer skills.
What is Machine Learning?
Machine Learning is defined as a subset of Artificial Intelligence. You can also understand machine learning as the use and development of computer systems that can read, memorize and learn human behaviors without human intervention/instructions. ML works on the basis of algorithms and statistical models. It is used for analyzing and illustrating inferences from patterns in data.
Steps to Follow to Become Machine Learning Engineer
1. Learn Coding With Python
Machine learning engineering skills count in illustrating proficiency in Python and/or C++. You must have hands-on experience with Python and its associated libraries. Coding with Python is the major skill to be able to work as an ML engineer. Python and C++ are the major programming languages used by Data Scientists and Machine Learning Engineers.
You also need to be expertise with SQL and Github. This will enable machine learning engineers to access company data and work effectively in a team. Google TensorFlow software, Java, and Swift help you write code with Python.
2. Enroll in an Online Machine Learning Course
Fact is told, Machine Learning Engineer emerges as one of the most profitable jobs you can get into in 2022. This is a career that doesn’t really require formal schooling, but it won’t be easy without completing an online course. Today, several Bootcamp, course, or machine learning certification programs are available online. You must enroll yourself in such courses.
3. Work on Machine Learning Project
As a beginner, you must try working and designing basic Machine Learning projects. Some of the ML project’s resources are Scikit-learn, and Awesome Machine Learning. In the course of Machine learning, you have to acquire a solid grasp of how machine learning works, practically. So, develop, and design your own projects that can be shared online.
Becoming a machine learning engineer is a path that requires patience and smart work. We would advise you to take on a project that interests you. Prefer a simple AI algorithm for building scratch from the algorithm. Don’t spend a lot of time collecting data, instead, opt for publicly available data sets. Head on to sources like UCI Machine Learning Repository for data gathering.
4. Join Machine Learning Communities
Apart from joining Online Machine Learning Course, you must try joining online ML communities. Many data scientists and machine learning experts prefer Kaggle — an online community. This platform helps users amass and publish data sets, design models, and communicate with other Machine Learning Engineers. We would like to suggest that machine learning communities are the best strategy to learn from others in the field.
5. Machine Learning Internships cum Training Program
To become a machine learning engineer in 2022, you must grab internship opportunities. An internship cum training program in machine learning helps you learn business-specific machine learning skills. The internship programs help young graduates acquire experience that helps with entry-level jobs.
Machine Learning Engineer salary earns an average of $146,085 annually. The salary is expected to grow at a certain rate in the coming future by 2035.
The entry-level Machine Learning Engineers enjoy a handsome salary package. The average entry-level Machine Learning Engineer is $93,575 per annum. Moreover, senior Machine Learning Engineers earn an average annual salary worth $155,000.
What is the need for Machine Learning?
The need for machine learning is quite huge and widespread. We require an ML algorithm to automate processes and recognize image/text patterns. Machine Learning is an important technology because ML models are adopted by new data. ML learns from past computations and offers safe and repeatable decisions.
Job Roles for Machine Learning
ML is not just confined to Machine learning engineers. You can specialize in ML and get exposure to a number of job titles such as Data Engineer, Data Scientist, Business Intelligence Developer, and Software Engineer among others.
Conclusion
In conclusion, we can say that to get a machine learning engineer job, one has to have knowledge of collecting data, using ML algorithms, processing data, and diagnosing results. You also need to demonstrate business value to the organizations. Just remember, a high-quality machine learning course is the basic or building block of learning and understanding machine learning and artificial intelligence. In case you want to know about Machine Learning in detail, you can enroll for the courses offered by The IoT Academy.
