Best 5 Career Options in Machine Learning

Today, we’re highly dependent on computers for our daily activities. That’s the reason the demand for skilled professionals in Machine Learning is booming day by day. In the coming days, it will escalate higher. The best part of this career is that it provides good annual compensation and fast career growth along with job satisfaction and security. There are many career options when you opt for Machine learning as a career.?

Different job roles

1. Machine Learning Engineer: A career as a Machine Learning Engineer is one of the most promising ones in the field of Data Science. In this job role, the engineers use machine learning algorithms and tools to design and develop machine learning systems. Their main task is to develop efficient ML applications by conducting statistical analysis and further tuning them by using the test results. These professionals are also responsible to run and conduct various ML experiments. The experiments are mainly based on programming languages like Java, Scala, C++, and python.?

Skills

In order to start your profession as a Machine learning engineer, you must have knowledge of programming, statistics, and Mathematics. Along with that, you must have knowledge about system design, data modeling, software architecture, and ML algorithms.?

2. Data Scientist: It is one of the popular job roles of Data science. These professionals are high-profile experts who have knowledge about advanced technologies like deep learning as well as analytical tools. They make use of these tools to collect, store, analyze and interpret huge amounts of data. Primarily, they’re focused on extracting valuable insights from the huge data sets and convert them for adding value to a business.

Skills

As an ML engineer, a Data scientist should also have knowledge of subjects like statistics, mathematics, and programming which includes mainly Python. They must have proper experience in data mining and statistical research techniques.?

3. NLP Scientist: NLP science works towards imparting machines with the ability for understanding natural human languages. Natural language processing scientists are also responsible to design and develop a machine that has the ability to understand the patterns of human speech and also translate the words into other languages. The main aim of these job roles is that machines can comprehend human languages naturally. Grammarly is an example of NLP applications.?

Skills: Fluency in syntax, spelling, the grammar of at least one language, and also basic level Machine learning skills.?

4. Software Developer: The brain behind the computer programs is of the software developers. The main task of these professionals is to develop efficient machine learning algorithms and applications. Their task is to design, develop and install software solutions, layouts, diagrams, specific computer functions, and a lot more.

Skills: Proficiency in coding in multiple programming languages including Java, C++, Python, etc. Apart from that understanding of data structures, architecture, data analytics, and software testing are among numerous other things. Extensive knowledge of Machine learning tools and concepts is a must.?

5. Machine learning Designer: There’s a dedicated branch of ML that has human cantered algorithms. These designers are responsible to create intelligent systems that can learn the human language and behavioral patterns by processing information and recognizing the patterns. These systems need minimal or no human intervention.?

Skills: In-depth knowledge of ML concepts, algorithms, and their functioning. Along with proficiency in coding, a good base in statistics and Mathematics is also needed.

Conclusion

The mentioned career options are the top machine learning careers. There are numerous other options like Cloud Architect, Business Intelligence Developer, Data Analyst, and a lot more. Choose the one that you find interesting. These days, many organizations are hiring machine learning employees for different purposes. With that demand for professionals is also increasing.?

Ultimately the career depends on your choice and skills that you already have and that one that you want to acquire. If you still have queries on ML or any other field make sure to get proper career guidance. Approach an expert career consultant on SeekEx and share your preferences with them. They will analyze your skillset and your interests and then suggest to you the best career options. They also guide you about the courses that will help you to attain your desired goals easily.