Data Scientist (100%)
Tasks
- Benchmark models
- Build LLM-powered systems
- Design machine learning models
- Develop Retrieval Augmented Generation
- Develop agentic LLM workflows
- Develop machine learning models
- Evaluate machine learning models
- Integrate models into production with engineering teams
- Investigate research prototypes
- Iterate to improve model accuracy
- Monitor model performance
- Perform data exploration
- Perform data preprocessing
- Perform feature engineering
- Train and optimize models
Perks/Benefits
- Company retreat facility
- Flexible working hours
- Full-coverage insurance
- Professional growth opportunities
- Team building events
Skills/Tech-stack
Celery | Entity recognition | FastAPI | Feature Engineering | Hugging Face | Keycloak | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Tokenization
Education
Roles
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