If you are interested in working as an unsupervised machine learning engineer, then you should have a strong background in mathematics and computer science. You will also need to be able to work well with others and be able to communicate effectively with your team members.
The answer is not an easy one and it largely depends on what you want to do. If you are looking for a job in supervised machine learning, then your best bet would be to look for a job at a company that has invested in the technology.
Unsupervised machine learning works well in jobs that are repetitive and require a lot of data input. This includes tasks such as image recognition, natural language processing, and speech recognition.
Supervised machine learning is when the algorithm receives a set of input and output data that it is expected to learn from. The algorithm can be given a set of instructions on what to do with the input data.
Unsupervised machine learning is when there are no instructions on what the algorithm should do with its input data. It uses its own algorithms to identify patterns in the input data, which it then uses to make predictions on new data that it hasn't seen before.