Key Responsibilities:

Design and develop natural language processing algorithms to analyze and extract insights from large volumes of unstructured text data
Collaborate with data scientists to develop machine learning models for sentiment analysis, topic modeling, named entity recognition, and other NLP tasks
Build and maintain pipelines for data ingestion, preprocessing, and feature extraction
Optimize and scale NLP solutions to handle large and varied datasets in a timely manner
Stay up-to-date with the latest advancements in NLP and AI research and incorporate them into our solutions
Work with product managers to understand business requirements and translate them into technical solutions
Communicate and present NLP solutions to technical and non-technical stakeholders

Qualifications:

Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
Minimum of 3 years of experience in developing NLP solutions in a professional environment
Strong understanding of NLP concepts such as tokenization, POS tagging, parsing, and named entity recognition
Proficiency in programming languages such as Python, Java, or C++
Experience with NLP libraries and frameworks such as NLTK, SpaCy, or Gensim
Familiarity with machine learning techniques and frameworks such as scikit-learn, TensorFlow, or PyTorch
Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus
Excellent problem-solving and analytical skills
Strong communication and collaboration skills

Why Lobox?

As a NLP Developer, you will have the opportunity to work on challenging projects and utilize cutting-edge technologies to develop solutions that have a real impact. We offer a competitive salary, comprehensive benefits package, and a flexible work environment that promotes a healthy work-life balance. Join us and be a part of a dynamic team that is shaping the future of NLP and AI.

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