Every leading company has a complex database that contains information which, if properly analyzed and used for application purposes, can lead to proliferation of gains. Many multinational companies survive on data. It will not be wrong if we say, that the breakfast, lunch, and dinner of these companies is data. Many new concepts relating to data are coming up in light with each passing day. For instance, Big data, a term used to describe data sets that relate to human behavior, patterns, and trends. Hence, today, where businesses cannot survive without data, there is an equal need for data interpretation, which needs technical expertise.
For this, machine learning experts or machine learning engineers are in high demand these days. Machine learning is now the most appreciated stream under information technology. More and more people are graduating under this field seeing the high demand of data specialists. And choosing among a pool of specialists can be a tedious task. So here are a few points which should be kept in mind before choosing a machine learning developer.
- The first and foremost requirement is a degree in computers. Without a degree no matter how many certifications a person has done or has self-learned the discipline, he cannot know the intricacies of the subject.
- Another requirement is knowledge of math. Concepts of statistics like Data Visualization (Descriptive Statistics), Discrete Probability Distribution, Normal Distribution, Sampling Theory, Interval Estimates of the Mean from Large Samples, Testing of Hypotheses, Simple Correlation between Related Variables and Multiple Regression, are a must.
- Certifications in data architecture from Amazon, Google or Coursera, will add to the skill set of that person. Such certifications are necessary to have first-hand knowledge of the contemporary technological advancements. The date of doing that certification should be checked.
- It’s always good to have a person with knowledge of Python, R or Java, or any other programming language. Nowadays, these are taught right from the schools. These are easy to learn and monitor.
- He should be Experienced in machine learning companies for at least a year.
- He should possess Knowledge in computing systems. So, look for this point in your machine learning developer.
- Last but not the least, Good communication skills are a must for every field. Even though the work doesn’t need much of talking, but explaining what have you performed and taking instructions properly and correctly. Without this a person with all the technical knowledge may prove useless the company.
A person with all the above the mentioned skill set may prove beneficial to any company, but it is always advisable to put the new joinee on a test before actually handing them all the data. Data is confidential and if handed over to an under-skilled, can cost you millions as it can lead to the deletion or unwanted updation; if handed over to a super-skilled but unauthorized professional may lead to loss of data to the competing firms.
