Senior Machine Learning Engineer - AI/NLP (Information Technology/Software)
Tasks
- Create reports and data visualizations
- Design advanced AI NLP ML models
- Develop Python code for scalable ML solutions
- Develop tokenization part of speech tagging named entity recognition
- Implement and optimize AI NLP ML models
- Integrate AI/ML solutions into products
- Perform text mining tasks
- Research and stay updated on NLP ML AI trends
- Run analysis and experimentation to improve model performance
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Continuous Delivery | Continuous integration | Data Visualization | Deep learning | Elasticsearch | Entity recognition | GPT | GPU Resource Optimization | Graph science | Hugging Face | Knowledge graphs | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Matplotlib | MongoDB | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | Oracle | Pandas | Part of speech tagging | PostgreSQL | PyTorch | Python | RAG | Resource Optimization | SQL | Seaborn | Spacy | TensorFlow | Text Mining | Tokenization | Transformers | Unit Testing
Education
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