AI & NLP Engineer
Tasks
- Analyze data architecture for consistency completeness accuracy and reasonableness
- Conduct data mining
- Create automated anomaly detection systems
- Define data rules with data stewards
- Design NLP/ML/AI IT architecture
- Develop and integrate model serving endpoints and LLM APIs
- Develop and maintain NLP/ML/AI applications
- Ensure data quality and integrity
- Evaluate compare select and optimize AI ML models
- Extract requirements from legal documents
- Improve machine translation quality
- Manage issues changes and decisions and document project logs
- Perform hyperparameter tuning and model optimization
- Prepare business cases vision documents and project charters
- Process, cleanse, and verify data integrity
- Select build and optimize machine learning classifiers
- Train custom machine learning and deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Anomaly Detection | Artificial Intelligence | Azure | Big Data | Big data SQL | Cassandra | Convolutional Neural Networks | Data Lakes | Data Mining | Data SQL | Data Storage | Data cleaning | Decision Trees | Deep learning | Distributed query | Distributed query engines | HBase | Hyperparameter Tuning | Inference | Information Extraction | KNN | LLM APIs | Language Processing | ML pipelines | Machine Learning | Managed Training | Model Evaluation | Model Serving | MongoDB | Natural Language | Natural Language Processing | Naïve Bayes | Neural Networks | NoSQL | Python | Query engines | Recurrent Neural Networks | Reinforcement Learning | SQL | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Support Vector Machines | Unsupervised Learning | Vector machines
Education
Roles
AI | AI Engineer | Engineer | NLP Engineer
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