Principal Data Scientist
Tasks
- Analyze unstructured text data
- Build large language model solutions
- Collaborate with cross-functional teams
- Conduct code reviews
- Deploy and maintain machine learning solutions
- Design and implement natural language processing solutions
- Develop code libraries for generative AI
- Evaluate model performance
- Identify intent and entities from text
- Participate in software development lifecycle
- Perform statistical analysis of results
- Research generative AI and LLM developments
- Train and fine tune pre trained NLP models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Azure | Azure OpenAI | Cloud platform | Content Generation | Deep learning | Django | Docker | Document AI | FastAPI | Flask | GPU Utilization | Gensim | Git | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Hugging Face | Image Segmentation | Image classification | Keras | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Natural Language | Natural Language Processing | Object Detection | PEFT | Prompt engineering | PyTorch | Python | Quantization | RLHF | Retrieval-Augmented Generation | SQL | Spacy | TensorFlow | Text Representation | Text Summarization | Topic Modeling | Transformers | Vector Databases | Vertex AI
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