{"id":22794,"date":"2023-02-13T13:22:27","date_gmt":"2023-02-13T12:22:27","guid":{"rendered":"https:\/\/careerfoundry.inbearbeitung.de\/en\/?p=22794"},"modified":"2023-02-13T13:22:27","modified_gmt":"2023-02-13T12:22:27","slug":"machine-learning-engineer","status":"publish","type":"post","link":"https:\/\/careerfoundry.inbearbeitung.de\/en\/blog\/data-analytics\/machine-learning-engineer\/","title":{"rendered":"What Does a Machine Learning Engineer Do?"},"content":{"rendered":"

For data analysts exploring new opportunities and seeking ways to move up the career ladder, one option is to become a machine learning engineer. A role high in demand and short in supply, ML engineers are vital not just to the data science industry, but to any organization that places data at the heart of its strategy.\u00a0<\/span><\/p>\n

But what exactly does a machine learning engineer do, and which kinds of skills are best suited to this position? In this article, we\u2019ll explore everything you need to know about machine learning engineering. We\u2019ll also explore some starting steps for those interested in pursuing a career in this field.<\/span><\/p>\n

We\u2019ll cover the following topics:<\/span><\/p>\n

    \n
  1. What is machine learning?<\/span><\/a><\/li>\n
  2. What do machine learning engineers do?<\/span><\/a><\/li>\n
  3. Is there demand for machine learning engineers?<\/span><\/a><\/li>\n
  4. How to become a machine learning engineer<\/span><\/a><\/li>\n
  5. Next steps<\/span><\/a><\/li>\n<\/ol>\n

    Ready to expand your knowledge of machine learning engineering? Let’s kick off with the basics.<\/span><\/p>\n

    1. What is machine learning?<\/span><\/h2>\n

    Machine learning is a <\/span>branch of artificial intelligence (AI)<\/span><\/a> that enables computers to learn from data without being explicitly programmed to do so.<\/span><\/p>\n

    Using algorithms, machine learning involves detecting patterns in data, allowing computers to make predictions\u2014and, in many cases, decisions\u2014without human intervention. Machine learning tools essentially allow computers to \u2018think\u2019 and \u2018learn\u2019 autonomously. Learn more in our full guide to machine learning<\/a>.<\/span><\/p>\n

    Machine learning was initially conceived in the 1940s, with the first executable algorithms developed throughout the 1950s and 60s. However, only with advances in technology and computer processing power has it entered its heyday. While the first machine learning algorithms were developed for the sciences, it is now an integral part of many industries, from healthcare to retail. It is used to automate complex tasks, provide insights, and drive better decision-making.<\/span><\/p>\n

    Contemporary examples of machine learning in action include:<\/span><\/p>\n