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· Requirements, design, architecture, coding, debugging, integration, test
· Occasional customer support
· Ability to code in multiple languages, primarily in C++, Perl and Python
· Designing and running experiments, and analyzing and presenting results
· Bachelor's degree in engineering or computer science
· Programming Languages: 2+ years of experience in C++, Python, and Perl.
· Machine Learning: Strong understanding of machine learning algorithms and frameworks like TensorFlow, Py Torch, or scikit-learn.
· Natural Language Processing (NLP): Expertise in NLP techniques, including tokenization, stemming, lemmatization, and named entity recognition.
· Deep Learning: Experience with deep learning models, particularly those used for NLP tasks, such as RNNs, LSTMs, GRUs, and Transformers.
· Data Analysis: Skills in data preprocessing, feature extraction, and statistical analysis.
· Text Mining: Knowledge of text mining techniques to extract meaningful information from unstructured text data.
· Evaluation Metrics: Familiarity with evaluation metrics for NLP models, such as precision, recall, F1-score, and BLEU score.
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