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Nlp Engineer Jobs

Ml/Nlp Cto Jobs
By Neolist At San Francisco, CA, United States
Must have experience leading the development of ML/NLP systems, with a proven track record of success.
Must have experience working in a startup environment.
Build and manage a team of developers, data scientists, and engineers to develop a high-quality AI platform.
If you're a self-motivated, skilled ML/NLP CTO who's looking for an exciting new opportunity, please apply today!
Must be able to work independently and be self-motivated.
Must be willing to take on a co-founder/equity-only role.

Are you a NLP Engineer looking for an exciting opportunity to use your skills to develop cutting-edge technology? We are looking for a NLP Engineer to join our team and help us create innovative solutions to complex problems. You will have the chance to work with the latest technologies and collaborate with a talented team of engineers to develop state-of-the-art natural language processing systems. If you are passionate about pushing the boundaries of technology, this is the job for you!

Overview:

A NLP Engineer is a professional who specializes in the development and implementation of Natural Language Processing (NLP) systems. They are responsible for designing, developing, and deploying NLP-based applications and services that enable computers to understand and process human language. NLP Engineers are also responsible for researching and developing new NLP algorithms and technologies, as well as maintaining and optimizing existing NLP systems.

Detailed Job Description:

NLP Engineers are responsible for designing, developing, and deploying NLP-based applications and services. This includes researching and developing new NLP algorithms and technologies, as well as maintaining and optimizing existing NLP systems. They must be able to analyze user requirements and develop solutions that meet those needs. NLP Engineers must also be able to troubleshoot and debug NLP systems, and be able to work with other teams to ensure that the NLP system is properly integrated into the overall system.

What is Nlp Engineer Skill Requirements?

• Expertise in Natural Language Processing (NLP)
• Knowledge of machine learning algorithms and techniques
• Proficiency in programming languages such as Python, Java, and C++
• Knowledge of software development methodologies
• Ability to work with large datasets
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team

What is Nlp Engineer Qualifications?

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field
• 5+ years of experience in NLP engineering
• Experience with NLP frameworks such as spaCy, NLTK, and CoreNLP
• Experience with machine learning frameworks such as TensorFlow and Keras
• Experience with cloud computing platforms such as AWS and GCP
• Knowledge of natural language processing techniques such as tokenization, lemmatization, and part-of-speech tagging

What is Nlp Engineer Knowledge?

• Knowledge of natural language processing techniques such as tokenization, lemmatization, and part-of-speech tagging
• Knowledge of machine learning algorithms and techniques
• Knowledge of software development methodologies
• Knowledge of cloud computing platforms such as AWS and GCP

What is Nlp Engineer Experience?

• 5+ years of experience in NLP engineering
• Experience with NLP frameworks such as spaCy, NLTK, and CoreNLP
• Experience with machine learning frameworks such as TensorFlow and Keras
• Experience with cloud computing platforms