Machine Learning Researcher (NLP)
Tasks
- Adapt NLP models to problem domains and datasets
- Collaborate with cross functional teams on research objectives and planning
- Conduct natural language processing research
- Design and conduct experiments and interpret results
- Develop ML and deep learning models on MLOps system
- Develop named entity recognition and machine translation models
- Develop novel algorithms for text classification and sentiment analysis
- Develop text generation and dialogue systems
- Ensure aviation safety requirements for ML systems
- Implement and experiment with state of the art NLP models
Perks/Benefits
Skills/Tech-stack
Attention Mechanisms | Cloud Platforms | Data Processing | Deep learning | Dialogue Systems | Distributed Computing | Entity recognition | Language Processing | MLOps | Machine Translation | Multi-GPU | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Resource Management | Sentiment Analysis | Sequence to sequence | TensorFlow | Text Classification | Text Generation | Transformers | Word Embeddings
Education
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