Sr AI NLP Engineer RTI Hedge Fund
## Responsibilities
Lead the development and optimization of our NLP-based decision engine.
Build and maintain ML models for news classification and sentiment analysis.
Enhance semantic pattern matching and false positive detection systems.
Develop feedback loops for continuous improvement of NLP models.
Integrate NLP capabilities with search engines like Elasticsearch.
Design adaptive learning systems to improve real-time decision-making.
Work with stakeholders to implement NLP-driven insights into trading pipelines.
## Requirements
Must Haves
7+ years of experience in NLP, machine learning, or related roles.
Expert knowledge of NLP frameworks and tools, including spaCy and transformers.
Hands-on experience with BERT and other transformer architectures.
Proficiency in Python and deep learning libraries like PyTorch or TensorFlow.
Strong background in text preprocessing, semantic similarity, and text classification.
Experience with sentiment analysis, Named Entity Recognition (NER), and topic modeling.
Proven ability to deploy, monitor, and optimize ML models in production.
• *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.**
Lead the development and optimization of our NLP-based decision engine.
Build and maintain ML models for news classification and sentiment analysis.
Enhance semantic pattern matching and false positive detection systems.
Develop feedback loops for continuous improvement of NLP models.
Integrate NLP capabilities with search engines like Elasticsearch.
Design adaptive learning systems to improve real-time decision-making.
Work with stakeholders to implement NLP-driven insights into trading pipelines.
## Requirements
Must Haves
7+ years of experience in NLP, machine learning, or related roles.
Expert knowledge of NLP frameworks and tools, including spaCy and transformers.
Hands-on experience with BERT and other transformer architectures.
Proficiency in Python and deep learning libraries like PyTorch or TensorFlow.
Strong background in text preprocessing, semantic similarity, and text classification.
Experience with sentiment analysis, Named Entity Recognition (NER), and topic modeling.
Proven ability to deploy, monitor, and optimize ML models in production.
• *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.**