NLP Engineer

Industry: Artificial Intelligence
Company size: 51-250

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Job description

A U.S.-based startup that is playing a pivotal role in building the next generation of intelligent systems that understand and interact with humans like never before, is looking for an NLP Engineer. The engineer will be a pioneer in the field, using their expertise to extract meaning from text, voice, and other forms of natural language data, and transforming it into powerful AI solutions. The company is initiating coverage in the desired format and updating the current models more quickly to cover more companies each quarter by utilizing the largest, most accurate, and auditable set of public company historicals. This is an amazing opportunity for candidates to prove their worth and work in a fast-paced environment. 


Job Responsibilities:

  • Create, build, and implement state-of-the-art NLP models for a range of applications
  • Build chatbots and conversational AI to facilitate natural and interesting interactions between people and robots
  • Discover how human emotions can influence corporate choices and product development
  • Gather important information from a plethora of textual data
  • Close linguistic gaps and promote international communication
  • To develop project requirements, evaluate data, and integrate models into production environments, closely collaborate with data scientists, software engineers, and domain experts
  • Create and manage scalable, effective NLP pipelines for pre-processing data, training models, and deployment
  • To assess and enhance model performance, carry out thorough experiments that push the limits of NLP efficiency and accuracy
  • Observe and manage deployed models, guaranteeing peak performance and resolving any problems. proactively
  • Continue to be at the forefront of NLP research while actively fostering team creativity and knowledge exchange

Job Requirements:

  • Master's degree in Computer Science, Linguistics, Data Science, or a related field (or equivalent experience)
  • Prolific experience working with programming languages like Python, Java, or R
  • Solid understanding of NLP fundamentals, including text pre-processing, tokenization, stemming, lemmatization, and language models
  • Extensive experience with popular NLP libraries and frameworks like TensorFlow, PyTorch, spaCy, NLTK, etc.
  • Strong teamwork and communication abilities, as well as the capacity to explain complicated technical ideas to non-technical audiences
  • Lifelong enthusiasm for learning and a drive to investigate fresh developments in the dynamic field of  NLP
  • Familiarity with specialized NLP tasks such as dialogue systems, information extraction, sentiment analysis, or machine translation would be nice
  • Some experience setting up and maintaining NLP models on cloud platforms like AWS, Azure, or GCP is preferred
  • Comprehensive knowledge of linguistics and human language, especially in your field of interest within NLP
  • Ability to independently oversee multiple projects concurrently and possess exceptional organizing skills
  • Outstanding written and spoken English communication abilities 

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