An NLP Engineer must have a thorough understanding of NLP approaches in the fields of text representation, semantic extraction techniques, data structures, and modeling. They must also be able to develop software architecture properly.
Additionally, as a Language Engineer, the ability to develop robust and testable code can greatly enhance your résumé.
NLP Engineers must have the following skills:
- Techniques for text representation, algorithms, and statistics are all important to know.
- Experience with Machine Translation and Compilers
- Machine learning frameworks and libraries knowledge
- Spark and Hadoop are two big data frameworks that you should be familiar with.
- Skills in text classification and clustering\
- Python, Java, and/or R programming capabilities
- Problem-solving skills that are second to none
- Syntactic and semantic parsing are two types of parsing.
- Pipelines for Continuous Integration and Continuous Delivery (CI/CD) knowledge
- Communication abilities that are strong in order to interact effectively within the organization
2022-03-03T18:30:00Z