Expert in AI/NLP/ML (Information Technology/Software)
Tasks
- Build and optimize classifiers
- Build automated anomaly detection systems
- Coordinate master data management implementation
- Coordinate metadata management implementation
- Define data rules with stakeholders
- Design NLP ML AI solution architecture
- Develop and maintain NLP and ML applications
- Implement data quality controls
- Improve machine translation engine quality
- Train machine learning and deep learning models
Perks/Benefits
Skills/Tech-stack
AI Search | Apache Spark | Artificial Intelligence | Asynchronous programming | Azure AI | Azure AI Search | Azure Blob | Azure Blob Storage | Azure Functions | BLEU | Bash | Blob Storage | Cassandra | D3.js | Data Lakes | Data Management | Data Quality | Data Visualization | Data analytics | Decision Trees | Deep learning | ETL | Embedding Models | HBase | Hybrid search | Indexing | Information Extraction | Java | K-Nearest Neighbors | K-nearest | Language Processing | Linear Models | Linux | MATLAB | Machine Learning | Machine Translation | MongoDB | MySQL | NLTK | Natural Language | Natural Language Processing | Naïve Bayes | Nearest neighbors | Neural Networks | NoSQL | OpenAPI | PHP | Perl | PostgreSQL | Python | Python Pandas | Quality Assurance | R | REST API | Random Forests | Reranking | SQL | Scikit-learn | Semantic Search | Spacy | Support Vector Machines | Swagger | Unix | Vector Databases | Vector machines
Education
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