Data Engineer (7673)
Tasks
- Analyze product and platform usage patterns
- Build and deploy machine learning pipelines
- Build data storage and processing infrastructure
- Collaborate with data scientists
- Collect process and manage data
- Conduct data analysis and statistical modeling
- Create data visualizations
- Deploy automated data solutions
- Develop data pipelines for structured and unstructured data
- Organize data for analysis
- Translate business questions into evaluation metrics and models
- Work with stakeholders to define business questions
Perks/Benefits
Skills/Tech-stack
Convolutional Neural Networks | Dash | Deep learning | ETL | Entity Extraction | Entity recognition | GitHub | Hugging Face | Hugging Face Transformers | JSON | Jupyter | Keras | Language Processing | Machine Learning | Markdown | MySQL | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | NoSQL | OpenCV | PyCharm | PyTorch | Python | REST API | ReactJS | Regular Expressions | Scikit-learn | Sentiment Analysis | Spacy | Streamlit | Topic Modeling | XML
Education
Master of Engineering | Master of Science | Master of Science in Applied Data Science | Master of Science in Computer Science | Master of Science in Information Systems
Roles
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