.png){kind=logo}
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
Natural Language Processing (NLP) has emerged as a transformative force, enabling machines to comprehend and interact with human language. As the demand for language technology continues to surge, it has become a dynamic field with a spectrum of NLP career opportunities. This introduction delves into the world of NLP careers, exploring the job landscape and encouraging aspiring professionals to seize the abundant NLP job openings by applying today for exciting roles in Natural Language Processing.
Creating and implementing NLP models for a range of uses, including conversational AI, content moderation, and social media analysis, will be your task. To enhance the caliber and functionality of the NLP systems, you will also work in conjunction with other researchers and engineers. A bachelor's degree or above in computer science, engineering, or a similar discipline is required, as well as three years of minimum experience in machine learning or natural language processing.
Modern research on NLP subjects like question answering, natural language generation, text summarization, and semantic parsing will be carried out by you. You will also contribute to the IBM Watson platform and publish your work in prestigious papers and conferences. A Ph.D. in NLP, computational linguistics, or a similar discipline is required, as is a proven track record of publications and patents.
The range of clients and domains, you will design, build, and test NLP solutions. To create NLP workflows and pipelines, you will also make use of the newest frameworks and technologies, like TensorFlow, PyTorch, spaCy, and NLTK. In addition to at least two years of expertise in NLP or machine learning.
Large amounts of text data will be analyzed and annotated for a variety of NLP projects, including text categorization, entity extraction, and sentiment analysis. To raise the caliber and precision of the NLP models and procedures, you will also offer comments and recommendations.
A group of NLP engineers and developers under your direction will produce excellent NLP solutions for a range of customers and industries. In addition, you will be in charge of the complete NLP lifecycle, which includes requirement analysis, deployment, and maintenance. In addition to at least five years of expertise in NLP or machine learning.
To help different clients and stakeholders use NLP to meet their business needs and overcome obstacles, you will offer your NLP experience and direction. Additionally, for various use cases and scenarios, you will assess and suggest the top NLP tools and methods. With a minimum of four years of expertise in NLP or machine learning.
Design and deliver NLP training courses and workshops to a variety of experts and students. You will be responsible for developing and revising the NLP curriculum and material as well as assessing learning objectives and feedback.
The Range of customers and domains, you will architect and create NLP solutions. Together with ensuring the scalability and resilience of the NLP systems, you will also define and put into practice NLP best practices and standards. A master's degree in computer science, engineering, or a similar discipline is required, with at least six years of expertise in natural language processing or machine learning.
Senior NLP engineers and researchers will supervise and mentor you as you work on NLP tasks and projects. Along with contributing to Google products and services, you will also study and use the newest NLP techniques and technologies.
NLP courses and projects for graduate and undergraduate students will be taught under your guidance. You will collaborate with other NLP experts and academics, conduct original research on NLP-related topics and challenges, and publish your findings.
Link to Apply
