Artificial Intelligence(AI) is making the world go crazy with its potential. The impact of AI is really on the next level. With its applications and usage, taking over the world now seems possible. One of the biggest subsets of AI is NLP. NLP stands for Natural Language Processing. NLP is responsible for making computers and machines capable of understanding languages. NLP is a form of AI which deals with linguistics. NLP is now a growing industry too, and thus it offers various job roles.
An NLP engineer has one of the most crucial roles in this field. So, if you want to become an NLP engineer, this article is for you only. We will cover everything associated and will be helpful to become an NLP engineer.
What does an NLP Engineer do?
Computers cannot understand human language as we speak or write. They need to learn the very basics of the language to interpret its meaning. For this purpose, a huge amount of data is required and fed into the system. Feeding a complete language to a system is a big process. Thus, the role of an NLP engineer is very complex. You might have seen Alexa or Google home mini; they are examples of NLP. These devices support a good number of languages.
Responsibility and Salary of an NLP engineer
Let us now look at the roles and responsibilities of an NLP engineer:
- 1. The first step is of building and designing an NLP model or system.
- 2. Translating and interpreting the language.
- 3. Training the data based on the data provided.
- 4. Making the system how to respond to certain texts or speech.
- 5. Performing tests and analysis
- 6. Maintaining modules and libraries
- 7. Constantly updating the model.
- 8. After building a model you need to provide the data or language to the system.
Before choosing a career in a particular field, it becomes very necessary to know the salaries. On average, an NLP engineer earns 8.5 Lakhs per annum in India. However, the salary ranges between 3.5 to 24 Lakh per annum depending upon the experience and company. Currently, the role of an NLP engineer is very much in demand, and thus companies are offering a good salary to the freshers too.
Responsibility and Salary of an NLP Engineer
Let us now look at the roles and responsibilities of an NLP engineer:
- The first step is building and designing an NLP model or system.
- Translating and interpreting the language.
- Training the data based on the data provided.
- Making the system how to respond to certain texts or speech.
- Performing tests and analysis
- Maintaining modules and libraries
- Constantly updating the model.
- After building a model you need to provide the data or language to the system.
Before choosing a career in a particular field it becomes very necessary to have an idea of the salaries. On average an NLP engineer earns 8.5 Lakhs per annum in India. However, the salary ranges between 3.5 to 24 Lakh per annum. It is depending upon the experience and company. Currently, the role of an NLP engineer is very much in demand and thus companies are offering an excellent salaries to the freshers too.
Skills Required to become an NLP engineer
- Firstly, you must have a degree in computer science, information technology, mathematics, or in any computer-related field.
- You are gonna work and handle a lot of data. so, it becomes necessary to have a related skillset and a prepared mindset.
- Programming languages such as Python, R, or Java.
- Working experience with both SQL and NoSQL databases. Big data frameworks such as Hadoop, spark, etc.
- Text representations and interpretations.
- Algorithms, data structures, and integrations to perform on data.
- Knowledge of AI and ML.
In your early stages, it is recommended to have experience handling large datasets. And perform operations over it for better understanding. You can get certifications and follow certain courses and documentation online. Having certifications can help you get an edge over other candidates.
Future Scope of NLP Engineer
The first thing everyone is concerned about before taking any job is its future scope. The technology or field you will gonna on must have a future goal and support. AI is currently taking over the world with its capabilities and miracles. Putting intelligence into a machine is actually going to be fun and impressive. However, the challenging factor is understanding emotions.
You can train your system by training with a ton of data and speeches. This will help you find the emotion or feeling in the speech or text. But this will be a long process. It could take on years. As AI is growing, NLP is making its way into the industry too. A lot of devices are now following the principles of NLP.
This industry has just put a step in the field of success. This industry is capable of bringing a revolution in the tech world. You cannot expect the miracles one could see working in this field. It is expected that this industry will grow by 25% from 2020 to 2030. This will lead to a big number of job opportunities. So, the future of NLP is secure and sound. You can opt for NLP as a career without a doubt.
Also, Read!!
Role Of NLP And ML In AI Paraphrasing Tools
Conclusion
NLP is a growing industry with a good future scope, and you get a good salary too. NLP is a great opportunity for you if you enjoy working with data. NLP is not difficult; you have to put effort into learning and make it fun for yourself. So, if you are worried about how to become an NLP engineer, you can refer to this article any number of times. You will get all your answers in this article.