GEN AI Data Analyst
Tasks
- Analyze large datasets using Python and SQL
- Apply NLP clustering regression and classification
- Build applications using LangChain or LlamaIndex
- Build dashboards using Power BI or Tableau
- Deploy models on AWS Azure or GCP
- Design and implement Generative AI solutions using Large Language Models
- Develop predictive models and data pipelines
- Develop prompt engineering strategies
- Evaluate model performance and optimize workflows
- Generate actionable business insights
- Implement Retrieval-Augmented Generation architectures
- Integrate AI models using OpenAI API or Hugging Face
- Perform data cleaning transformation and exploratory data analysis
- Translate business problems into AI and data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Classification | Clustering | Data Visualization | Faiss | GCP | Generative AI | Git | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Natural Language | Natural Language Processing | NumPy | OpenAI API | Pandas | Pinecone | Power BI | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Tableau | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analyst | Data Analyst | Engineer | Learning Engineer | Machine Learning Engineer
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