Data Scientist
Tasks
- Analyze datasets
- Build machine learning models
- Collaborate with data engineers
- Communicate insights to clients
- Deploy machine learning models
- Develop NLP solutions
- Develop generative AI solutions
- Engineer prompts
- Evaluate machine learning models
- Implement retrieval-augmented generation
- Keep up with AI research
- Monitor model performance
- Perform feature engineering
- Preprocess data
- Run cross validation
- Select models
- Support model retraining
- Train machine learning models
- Tune hyperparameters
- Visualize data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Azure Databricks | Azure Machine Learning | Azure Synapse | Cloud platform | Computer Vision | Cross-validation | Data Preprocessing | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Hyperparameter Tuning | Langchain | Language Models | Language Processing | Large Language Models | Linear Algebra | MLOps | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Probability | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow
Education
N/A
Roles
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