Data Scientist - NLP
USD 120K-220K (estimate) Senior-level Full Time
Tasks
- Apply NLP preprocessing for text data
- Build neural network and deep learning models
- Collaborate on user stories
- Collect, clean, and prepare datasets
- Develop scalable production ready NLP solutions
- Perform NLP feature engineering
- Select machine learning models for classification and regression
- Train NLP models using transformers
- Use git or github for version control
- Validate model results and report findings
- Visualize modeling results and present insights
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Textract | Azure Translation Services | BERT | Bedrock | Classification | Databricks | Deep learning | Entity recognition | FastText | GPT-J | GenAI | Gensim | Git | GitHub | GloVe | Keras | Language Processing | Lemmatization | MLflow | Machine Learning | Machine Translation | Microsoft Azure | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | Prompt engineering | PyTorch | Python | R | Regression | RoBERTa | SAS | Sci-Kit | Sci-kit Learn | Sentiment Analysis | Spacy | Spark | Spark NLP | Stemming | Stop Word Removal | T5 | TF-IDF | TensorFlow | Text Summarization | Tokenization | Topic Modeling | Transcription | Transformers | Translation Services | Word2Vec
Education
Roles
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