Machine Learning Researcher (NLP)
Tasks
- Conduct natural language processing research
- Define research objectives and methodologies with cross functional teams
- Design experiments and interpret results
- Develop ML and DL models on MLOps
- Develop algorithms for machine translation
- Develop algorithms for named entity recognition
- Develop algorithms for sentiment analysis
- Develop algorithms for text generation
- Develop dialogue system models
- Develop novel algorithms for text classification
- Ensure aviation safety compliance for models
- Implement state-of-the-art NLP models
- Publish research in conferences and workshops
- Train and fine-tune transformer models
Perks/Benefits
Skills/Tech-stack
Attention Mechanisms | Cloud Platforms | Data Processing | Deep learning | Dialogue Systems | Distributed Computing | Entity recognition | GPU resource management | Language Processing | Large Scale Data | Large-scale | Large-scale Data Processing | MLOps | Machine Translation | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Resource Management | Sentiment Analysis | Sequence Models | Sequence to sequence | Sequence to sequence models | TensorFlow | Text Classification | Text Generation | Transformers | Word Embeddings
Education
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