Data Scientist
Tasks
- Apply statistical methods
- Build NLP pipelines
- Build conversational AI solutions
- Build machine learning models
- Conduct data preprocessing and feature engineering
- Create data visualizations and communicate insights
- Deploy AI models
- Design vector database based retrieval
- Develop document understanding and question answering systems
- Develop language models
- Develop metrics and studies
- Develop reusable tools and modeling pipelines
- Develop supervised and unsupervised NLP models
- Fine-tune language models
- Implement RAG solutions
- Perform exploratory data analysis
- Translate insights into product recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agents | Autogen | Azure | BERT | Cloud platform | Computer Vision | CoreNLP | ELMo | FastAPI | Fine Tuning | Flask | GPT | Gensim | Google Cloud | Google Cloud Platform | Guardrails | Keras | LLM Fine-tuning | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Machine Learning | NLTK | Natural Language | Natural Language Processing | OpenNLP | PEFT | Pincone | Postman | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | R | RAG | Retrieval-Augmented Generation | Spacy | Swagger | TensorFlow | Transformers | Vector Databases | WordNet | XLNet
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Computer Applications | PhD
Roles
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