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What Are The Skills Needed For Machine Learning Jobs?

 July 15  | 0 Comments

Machine Learning (ML) jobs are one of the most sought-after opportunities in the tech space today. About 50,000 jobs in data science and machine learning remain vacant in India alone.

It has become the need of the hour to stay abreast of the latest technologies like data science, data analytics, machine learning, and artificial intelligence. Jobs are disappearing at a steadfast rate and this is primarily due to the advent of automation. In such a scenario developing skills needed for machine learning jobs and other emerging technologies is integral for the sake of future job security.

What Does A Machine Learning Engineer Do?

Simply put, machine learning engineers are computer programmers whose niche areas are machine learning, deep learning, and artificial intelligence. They are specialized in providing automated and tailor-made solutions using machines. Some examples of their contributions include image classification, customized news feed, speech recognition, and market forecasting.

All through their career, they would have to work with data collection, cleaning, preprocessing, as well as in training models and deploying them to production.

It’s safe to say that people in machine learning jobs are striving to make human lives easier and sophisticated. If you are keen on pursuing a career in this field, there are some essential skills you need for machine learning jobs

The Skills Needed For Machine Learning Jobs

These include the following:

  1. Computer Science Fundamentals and Programming
  2. Probability and Statistics
  3. Data Modeling
  4. Application Of Machine Learning Algorithms
  5. Software Engineering and System Design

Here’s a brief on each of the skills.

  1. Computer Science Fundamentals and Programming

You should be thorough with the fundamentals of computer science before you apply for machine learning jobs. You must be able to apply, implement, adapt, address them while programming. Maintaining a good coding practice and attending hackathons are also good ways to hone your skills.

  1. Probability and Statistics

Machine learning experts cannot do without learning about probability, algorithms, statistical modeling procedures and techniques derived from it. Key concepts like probability distributions, statistical significance, hypothesis testing, and regression will be necessary in your projects at work.

  1. Data Modeling

Data modeling is a crucial process involved in analyzing the structure of a dataset by finding patterns or discrepancies if any. As a machine learning engineer, you should have the right awareness to develop the right data model in accordance with business issues and terms. Not knowing the nuances of data modeling will leave your business needs unmet.

  1. Application Of Machine Learning Algorithms

In any machine learning job, you would need to know the commonly used algorithms like the back of your hand. These include linear regression, logistic regression, decision trees, K-means, PCA and neural networks.

  1. Software Engineering and System Design

You should know very well how different pieces communicate and work together in a software. Good software engineering practices are invaluable for productivity, collaboration, quality, and maintainability.

Foresighted companies are seeking well-trained machine learning professionals. Along with the aforementioned skill sets, you should also develop an intuitive mind that helps you design solutions for the business issue at hand. That will take time to develop but you can arm yourself with the right skills needed for machine learning jobs. All you have to do is enroll with the Data Science Certification course or Data Science Bootcamp course with India’s most preferred upskilling platform Acadgild!