Skills And Tools:
- Designing ML systems.
- Researching and implementing ML algorithms and tools.
- Selecting appropriate data sets.
- Picking appropriate data representation methods.
- Identifying differences in data distribution that affects model performance.
- Verifying data quality.
- Transforming and converting data science prototypes.
- Performing statistical analysis.
- Running machine learning tests.
- Using results to improve models.
- Training and retraining systems when needed.
- Extending machine learning libraries.
- Developing machine learning apps according to client requirements.
- 5+ years of related experience,
- Graduate of computer science or a related engineering discipline.
- OOP concepts and design patterns.
- Web Services (REST and SOAP).
- MySQL, Elasticsearch, JUnit, Maven, and GIT.
- Machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Trees, etc
- Deep learning frameworks like Deeplearning4j, PyTorch, TensorFlow, etc.
- Python and Jupyter Notebook.
- NLP, transformers, pandas, numpy.
- Data parsing, scraping, and wrangling
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