Machine learning is an intricate field in the industry and working on it requires a strong skill set which incorporates knowledge, stats, and practical skills in engineering. For instance, if a user faces a problem in finding products and services, then it is your job to understand the problem on the website and apply statistical modeling in order to solve the particular problem.
Hence, we can say that the success in machine learning depends upon the acquisition of a strong skill set. If you have a major in Computer Sciences, the overall skills required would be to fathom the statistical fundamentals, gain a know how of the algorithms of machine learning, and lastly to establish proficiency in working with data. This includes the data querying from a plethora of sources, its manipulation, and reasoning.
If you have a background of a statistical or quantitative nature, your priority must be your programming skills. It is important for you to become proficient in at least one DS language such as R or Python as it will greatly assist in the execution on any modeling tasks in Machine learning. It is extremely beneficial for you to adopt and understand the effective software engineering practices such as handling of data flows through data systems and automating the workflows which are commonly used such as libraries.
And lastly, the most important and crucial skill for machine learning in the market is to apply the skills in order to solve the business problems by casting the business problem as a machine learning problem. in this way, the machine learning will be effective and productive. For example, machine learning can be utilized to improve the overall delivery-time prediction which have a massive impact on the overall client experience.