NLP Engineer
NLP Engineers design and implement NLP algorithms and products, frequently cooperating with data scientists and developers to fill NLP functionality gaps in existing products or services.
Responsibilities:
- Develop and implement NLP algorithms and models.
- Collaborate with data scientists and software engineers.
- Optimize NLP systems for performance and scalability.
Skills Required:
- Proficiency in NLP libraries and frameworks (e.g., NLTK, spaCy).
- Strong programming skills in Python or Java.
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Salary Range:
- Entry Level: $60,000 – $80,000
- Mid-Level: $80,000 – $110,000
- Senior Level: $110,000 – $150,000+
Natural Language Processing (NLP) Job Roles
In recent years, the discipline of Natural Language Processing(NLP) has experienced great growth and development and has already impacted the world of people with computers and will influence in the future the technological world. Nowadays professionals of NLP are sought-after but almost any industry since AI implementation is spread widely.
NLP Job Roles
This article explores the wide range of Different NLP Job Roles, Resposibilities, Skills Required , Salary and Career path for NLP Job roles.
Natural Language Processing (NLP) Job Roles
- NLP Jobs in Research and Development
- 1. NLP Research Scientist
- NLP Jobs in Engineering and Development
- 2. NLP Engineer
- 3. Machine Learning Engineer
- 4. Conversational AI Developer
- 5. Speech Recognition Engineer
- 6. Text Mining Analyst
- NLP Jobs in Data Analysis and Annotation
- 7. Data Scientist (Specializing in NLP)
- 8. NLP Data Annotation Specialist
- NLP Jobs in Product and Strategy
- 9. NLP Product Manager
- NLP Jobs in Consulting and Training
- 10. NLP Consultant
- 11. NLP Trainer/Instructor
- NLP Jobs in Ethics and Fairness
- 12. AI Ethics and Fairness Researcher
- NLP Jobs in Social Science and Analysis
- 13. Computational Social Scientist
- Emerging Trends in NLP jobs
- Career Paths for NLP Job Roles