Data Scientist
Tasks
- Analyze data using SQL
- Build NLP solutions
- Build feature engineering pipelines
- Collaborate with stakeholders
- Design machine learning models
- Develop AI-driven automation
- Develop classification models
- Develop generative AI models
- Develop predictive models
- Develop regression models
- Evaluate model performance
- Implement rag pipelines
- Improve model accuracy
- Integrate LLM workflows
- Monitor models
- Perform exploratory data analysis
- Support model deployment
- Troubleshoot production issues
- Validate models
Perks/Benefits
- Accident insurance
- Disability insurance
- Paid time off
- Pension contributions
- Private medical insurance
- Referral scheme
- Sickness insurance
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | Azure Bedrock | Azure ML | Azure Machine Learning | Bedrock | CI/CD | Data Analysis | Data Transformation | Docker | Exploratory Data Analysis | Feature Engineering | Generative AI | Hugging Face | IBM Azure Bedrock | Language Models | Language Processing | Large Language Models | LightGBM | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow | XGBoost
Education
N/A
Roles
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