Career Insights: All You Need to Know about NLP Engineers
learn everything about NLP Engineers: Role, qualifications, skills, top institutes, recruiters, etc.
Roles and responsibilities: Natural Language Processing Engineer helps in improving our NLP products and creating new NLP applications. NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods, and text representation techniques. Average salary (per annum)- US$128,915Qualifications:
- Proven experience as an NLP Engineer or similar role
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
- Ability to effectively design software architecture
- Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis, etc), statistics and classification algorithms
- Knowledge of Python, Java, and R
- Ability to write robust and testable code
- Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
- Strong communication skills
- An analytical mind with problem-solving abilities
- Degree in Computer Science, Mathematics, Computational Linguistics, or similar field.
Top 3 Online Courses:
Data science, Code academy: Machine Learning, Data Science, Python, Regular Expression, NLTK, spaCy, TensorFlow, sci-kit-learn, and more. The course is for those who want to understand how computers work with human language, learn techniques and libraries for data analysis, and create natural language processing tools. Coursera – Natural Language Processing Specialization: This course covers a wide scope of tasks in Natural Language Processing from essential to cutting-edge: sentiment analysis, summarization, dialogue state tracking, to give some examples. After finishing, you will have the option to perceive NLP tasks in your everyday work, propose approaches, and judge what strategies are probably going to function admirably. Natural Language Processing (NLP) with Python NLTK – Udemy: The course is structured as a prologue to the crucial concepts of Natural Language Processing (NLP) with Python. Mainly centered around working with NLTK, it gives the possibility of such NLP tasks as word tagging and chunking. As an enhancement, it presents certain machine learning algorithms, for example, credulous Bayes.Top Institutes Offering the Program:
- M.S. in Statistics, Data Science :Science: Stanford University
- Master of Science in Data Science: University of Washington
- Master of Science in Analytics: Northwestern University