Data Scientist
Tasks
- Build and fine-tune language models
- Build machine learning data pipelines
- Collaborate on end to end AI ML NLP solutions
- Conduct exploratory data analysis
- Create reusable tools and modeling pipelines
- Design deep learning architectures for NLP and computer vision
- Design prompt engineering and tuning
- Develop and deploy machine learning models
- Develop metrics and studies
- Develop supervised and unsupervised learning models
- Implement retrieval-augmented generation
- Mine and analyze customer data for product insights
- Perform data preprocessing and feature engineering
- Translate analytics into actionable business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
Agents | Autogen | BERT | CoreNLP | ELMo | Entity recognition | GPT | Gensim | Graph Databases | Guardrails | Intent detection | Keras | Knowledge graphs | LLM | Langchain | Llamaindex | LoRA | NLTK | Named Entity Recognition | OpenNLP | PEFT | Pinecone | PyTorch | Python | QLoRA | Qdrant | Question Answering | R | RAG | Spacy | TensorFlow | Text Classification | Text Summarization | Topic Extraction | Topic Modeling | Transformers | Vector Databases | WordNet | XLNet
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