ML/NLP Engineer
Tasks
- Collaborate with cross-functional teams
- Conduct model evaluation and validation
- Design implement and deploy scalable ML and NLP models
- Develop data pipelines and preprocess data
- Develop optimize and evaluate machine learning and statistical models
- Implement monitoring and maintenance strategies
- Oversee ML pipeline from data collection to deployment
- Present project progress to leadership
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Celery | Entity recognition | FastAPI | Hugging Face | Keycloak | Kubeflow | Language Models | Large Language Models | MLflow | NLP | Named Entity Recognition | Pandas | Polars | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Streamlit | TensorFlow | Tokenization
Education
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