Data Scientist
Tasks
- Analyze product insights
- Build NLP pipelines and models
- Build and fine-tune language models
- Build conversational AI and question answering
- Collaborate with research and partners
- Create new metrics and studies
- Create reusable modeling pipelines
- Develop and deploy machine learning models
- Develop generative AI solutions
- Implement retrieval-augmented generation
- Implement vector database solutions
- Mine and analyze customer data
- Translate insights into actionable recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agents | Autogen | Azure | Azure OpenAI | Cloud platform | CoreNLP | Data Visualization | FastAPI | Fine Tuning | Flask | GCP | GenAI | Gensim | Google Cloud | Google Cloud Platform | Keras | LLM guardrails | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Machine Learning | NLTK | Natural Language | Natural Language Processing | OpenAI GPT | OpenNLP | Postman | Prompt engineering | PyTorch | Python | QLoRA | R | RAG | REST API | Spacy | Supervised Learning | Swagger | TensorFlow | Transformers | Unsupervised Learning | Vector Databases | Vector Search | WordNet
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