Data Scientist

Tasks

• Benchmark model performance
• Build LLM-powered systems
• Build NLP solutions
• Build RAG pipelines
• Build recommender system solutions
• Collaborate with engineering teams
• Design machine learning models
• Develop machine learning models
• Evaluate machine learning models
• Improve model accuracy
• Integrate models into production
• Investigate research prototypes
• Monitor model performance
• Optimize model performance
• Perform data exploration
• Perform data preprocessing
• Perform feature engineering
• Reproduce research prototypes

Perks/Benefits

• N/A

Skills/Tech-stack

Celery | Data Preprocessing | 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 | RAG | Recommender Systems | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Tokenization