Career Options after getting a certification in ML

 Machine learning is a trending career option nowadays. But you must know that machine learning is a field, and there are a lot of job roles to get by doing Machine learning online courses. So, an ML job role depends on various factors apart from the certification you have gotten. 

For example, there are many job roles in machine learning where software engineering is needed to get the job. So, let's have a look at various job roles that you can get with an ML certification. 

What is Machine Learning?

Before knowing about the job roles that you can get after pursuing a Machine Learning online course, here's a quick definition of machine learning. 

Machine learning is a domain which comes under artificial Intelligence. It is basically a process where a model is created to act like a human. But how?

Let's understand with a simple example. Let's say you have created a game where there's a character who can do multiple tasks. But the tasks that the character can do are those which you have programmed, and it will not be able to do or learn anything by itself. 

On the other hand, Machine learning systems are not programmed much, but rather, they are trained over a lot of data related to the task that they are intended to do, and soon after getting trained, they become able to do complex tasks by themselves. 

Machine learning is of great use in many industries, or simply put, ML can be used in almost any industry. You can create an ML mode which can differentiate between humans and animals as a human does by doing less programming and training more on available images of humans and animals.

Machine Learning Engineer

Machine learning engineering is one of the most popular jobs that one can apply for after getting a certificate from a machine learning online course. Machine learning engineers deal with creating modelling that self train themselves to identify and learn patterns and do tasks based on them. 

ML data engineers handle a large amount of data, which they use to train the ML models for automation. To become an ML engineer, you also need to have some domain-specific knowledge, which includes software engineering, data science, etc.

Deep Learning Engineer

Within the field of machine learning, there's a branch called deep learning. Deep learning is where deep learning engineers work on building neural networks and optimizing the make able to solve complex problems. So, a deep learning engineer builds systems which keep training them to do a task that a human does, like image recognition, speech recognition, and predictive modelling, etc.; similar machine learning engineer job role, a deep learning engineer also needs to know coding languages and other ML skills. 

NLP engineer

NLP engineering is a good career option after pursuing a Machine Learning course. NLP stands for natural language processing, and an NLP engineer works to create systems which are able to recognize the natural human language and its human-like use. Moreover, an NLP engineer also works on sentiment analysis to teach the system to understand the sentiment of the natural language. These systems are typically used in chatbots and advanced language translation software, so you can get placed at companies where chatbots are developed for other companies. 

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