FULL_TIME
Remote
0-2
NLP Engineer (Remote)
9/9/2025
Assist in preprocessing and cleaning textual datasets, and implement basic NLP pipelines using libraries like NLTK or Hugging Face. Design and implement NLP models for classification, entity recognition, and summarization, while contributing to the scalable deployment of NLP services.
Working Hours
40 hours/week
Company Size
11-50 employees
Language
English
Visa Sponsorship
No
About The Company
nybl is smarter Ai: a science-based machine learning platform that turns mountains of underutilized data into actionable intelligence.
About the Role
<p style="margin:0in;background:white;box-sizing: border-box;outline: 0px; font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align: start;widows: 2; text-decoration-style: initial;text-decoration-color: initial;word-spacing: 0px;"><strong>About nybl:</strong></p><p style="margin:0in;background:white;box-sizing: border-box;outline: 0px; font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align: start;widows: 2; text-decoration-style: initial;text-decoration-color: initial;word-spacing: 0px;"><br></p><p style="margin:0in;background:white;box-sizing: border-box;outline: 0px; font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align: start;widows: 2; text-decoration-style: initial;text-decoration-color: initial;word-spacing: 0px;">We are developing an ai ecosystem that enables businesses, in any industry, to be able to deploy artificially intelligent solutions using both our platform and applications. Our technology allows anyone to build Ai solutions without writing a line of code or needing a degree in Data Science. Our ecosystem is world changing from healthcare to agriculture, education to industry, the applications of our technology are truly limitless.</p><div><br></div><div>We’re looking for a Natural Language Processing (NLP) Engineer to join our growing data science team. This is an exciting opportunity to work on cutting-edge projects, collaborate with a talented team, and see your work directly applied in production systems impacting millions of people.</div><p dir="ltr" style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial; line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;"><strong>Key Responsibilities:</strong><br><br>Assist in preprocessing and cleaning textual datasets<br>Implement basic NLP pipelines using libraries like NLTK, or Hugging Face<br>Design and implement NLP models for classification, entity recognition, and summarization<br>Fine-tune transformer-based models (e.g., BERT, RoBERTa) for domain-specific tasks<br>Familiarities with large language models and prompt engineering.<br>Analyze model performance and iterate based on evaluation metrics<br>Contribute to scalable deployment of NLP services<br><br><strong>Qualifications:</strong><br><br>Bachelor’s degree in Computer Science. With experience or specialization on NLP<br>Strong Python skills .<br>Understanding of NLP tasks (tokenization, POS tagging, sentiment analysis)<br>Exposure to ML frameworks (e.g., TensorFlow, PyTorch)<br>Experience with Hugging Face, SpaCy, or LangChain<br>Minimum of 1–2 years of experience in NLP and LLMs modeling</p>
Key Skills
NLPPythonMachine LearningTensorFlowPyTorchHugging FaceSpaCyLangChainData ScienceEntity RecognitionText ClassificationSummarizationTokenizationPOS TaggingSentiment AnalysisTransformer ModelsPrompt Engineering
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