Data Scientist
Tasks
- Build RAG pipelines
- Build predictive classification and regression models
- Collaborate with business and technical stakeholders
- Create features and transform data
- Develop NLP solutions
- Develop machine learning and generative AI models
- Evaluate model performance and improve accuracy
- Implement LLM integrations and prompt engineering
- Perform exploratory data analysis
- Support model deployment validation monitoring and troubleshooting
- Work with AWS or Azure for AI ML workloads
Perks/Benefits
- Accident insurance
- Disability insurance
- Paid time off
- Pension contributions
- Private medical insurance
- Referral program
- Sickness insurance
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | CI/CD | Classification | Data Analysis | Docker | Exploratory Data Analysis | Feature Engineering | Hugging Face | Language Models | Language Processing | Large Language Models | LightGBM | MLOps | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow | XGBoost
Education
Roles
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