Data Scientist
Tasks
- Build, train, and evaluate machine learning models
- Collaborate with stakeholders to translate business problems
- Conduct exploratory data analysis
- Create prompt engineering and RAG pipelines
- Deploy and monitor machine learning models
- Develop natural language processing and generative AI workflows
- Engineer features and build data pipelines
- Perform code reviews and knowledge sharing
- Write reproducible Python code and track experiments
Perks/Benefits
Skills/Tech-stack
AI Foundry | Azure | Azure AI | Azure AI Foundry | Azure Functions | Azure OpenAI | Cross-validation | Data Analysis | Databricks | Delta Lake | Embeddings | Exploratory Data Analysis | Feature Engineering | Generative AI | Hugging Face | Hugging Face Transformers | Langchain | Language Processing | Llamaindex | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PySpark | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases
Education
Roles
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