Senior Machine Learning Engineer (NLP)
Tasks
- Build classification and search systems
- Build multi-agent systems
- Define AI best practices and tooling
- Deploy machine learning models to production
- Design machine learning systems end to end
- Develop prompt engineering solutions
- Implement document processing and web data parsing
- Monitor model performance
- Perform entity matching
- Run experiments on new models and data strategies
- Train and fine-tune LLMs
Perks/Benefits
Skills/Tech-stack
Agent systems | Conversational AI | Data strategy | Document processing | Entity Matching | Experimentation | Fine Tuning | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Model Training | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Python | Text Classification | Web Scraping
Education
N/A
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