We are living in a world full of machines. Man has progressed to this extent that he invented programs that operate on their own. Right from personalized Facebook news feed to customized movie recommendations on Netflix- machine learning rules all these massive innovations. Machine learning algorithms collect data, process it, learn from different facts, and use the results for future decision making.
Machine learning engineers are the go-to professionals who build end-to-end machine learning algorithms that analyze big data for profitable decision-making. The job trends for machine learning engineers are growing exponentially and so are the salaries. From multinational companies like Apple, Google, Facebook to small start-ups, everyone needs machine learning engineers. Landing a machine learning job is definitely not a cake-walk but can become easy if you follow these 5 tips –
1) Build a Machine Learning Project Portfolio
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Building a machine learning project portfolio can prove to be helpful in showcasing your machine learning skills and experience. A collection of machine learning projects from beginner to advanced level is will help employers easily assess your practical machine learning skills. It is not necessary to have a dedicated website for your machine learning portfolio but having at least 3 to 5 innovative projects on analytics and machine learning can help you stand out from the crowd.
2) Enhance your Programming Skills
Before answering the question on “how do you enhance your programming skills”, it is important to understand your existing skill level. This will help you identify your skills gap to find areas of improvement. You can take advantage of the best machine learning books, podcasts, blogs and work on some cool machine learning projects to put the theoretical knowledge into practice.
3) Engage with the Machine Learning Community
Building a network of machine learning engineers or like-minded professionals so you can share your ideas, overcome challenges on your machine learning path, and learn from the community. You can get started on this by connecting with LinkedIn influencers in the machine learning community and following machine learning practitioners who inspire you with their work.
4) Blogging
To be an adept machine learning engineer, you need to know about the latest trends and technologies in machine learning. What’s happening? What will happen next? The best way to keep up with all these latest tools is learn about these tools, work on some interesting ML projects and write a detailed blog on the challenges and takeaways about your learnings.
5) Find a Machine Learning Mentor for Yourself
Get mentored from an experienced and trained machine learning expert to land your dream job. A mentor will show you the right direction synching the machine learning job market requirements and your machine learning skills. Whenever you have difficulty making decision to progress in your career, a mentor can be of great help in setting up a plan for you to help you achieve your goals in a given time frame. You can also make the best use of your mentor connections to get advice and help from other professionals.