Responsibilities:

Develop and implement NLP algorithms and models to extract insights from large datasets
Design and build scalable NLP solutions for various business use cases
Collaborate with cross-functional teams to understand business requirements and identify NLP opportunities
Research and experiment with new NLP techniques and technologies to improve existing models and systems
Evaluate and integrate third-party NLP tools and libraries as needed
Train and fine-tune NLP models using various machine learning techniques
Optimize NLP pipelines for performance and scalability
Develop and maintain data pipelines for NLP applications
Communicate complex NLP concepts and solutions to non-technical stakeholders
Mentor and provide technical guidance to junior NLP engineers

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Minimum of years of experience in NLP development
Proficiency in programming languages such as Python, Java, or C++
Strong understanding of NLP concepts and techniques, including text classification, information extraction, sentiment analysis, and topic modeling
Experience with NLP libraries such as NLTK, SpaCy, or Gensim
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with data processing tools and languages such as SQL, Spark, or Hadoop
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work independently and in a team environment
Published papers or patents in the field of NLP is a plus

Join our dynamic and innovative team, and together we can make a significant impact in the world of NLP.

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