Data Scientist
Tasks
- Build and fine tune language models for NLP tasks
- Build and improve reusable ML and modeling pipelines
- Build language model applications with RAG
- Communicate insights using data visualization
- Create and maintain vector databases and retrieval systems
- Design develop test deploy machine learning models
- Develop NLP pipelines for intent recognition entity extraction language modeling text classification question answering summarization topic modeling
- Develop generative AI solutions
- Develop metrics and studies to quantify product value
- Implement prompt engineering and model tuning
- Mine and analyze customer data using statistical methods
- Translate analytics into actionable business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | Azure OpenAI | BERT | CoreNLP | Deep learning | ELMo | FastAPI | Fine Tuning | Flask | GCP | Generative AI | Gensim | Keras | Knowledge graphs | LLM | Langchain | Language Processing | Llamaindex | LoRA | Machine Learning | Model Fine-tuning | NLTK | Natural Language | Natural Language Processing | OpenAI | OpenAPI | OpenNLP | PEFT | Prompt engineering | PyTorch | Python | QLoRA | R | Retrieval-Augmented Generation | Spacy | Swagger | TensorFlow | Transformers | Vector Database | WordNet | XLNet
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