Data Scientist
Tasks
- Build RAG pipelines
- Build machine learning models
- Build reusable modeling pipelines
- Conduct exploratory data analysis
- Create and manage vector databases
- Create product metrics and studies
- Design and optimize deep learning architectures
- Develop NLP applications
- Develop conversational AI solutions
- Develop generative AI solutions
- Develop supervised and unsupervised learning models
- Fine-tune language models
- Implement prompt engineering and tuning
- Mine and analyze customer data
- Perform data preprocessing and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | Azure OpenAI | BERT | Deep learning | FastAPI | Flask | GCP | GenAI | Gensim | Keras | Knowledge graphs | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Machine Learning | NLP | NLTK | OpenAI GPT | PEFT | Pinecone | Postman | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | R | RAG | Spacy | Swagger | TensorFlow | Tokenization | Transformer Architecture | Transformers | Vector Databases
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