Applied AI/ML Engineer
Tasks
- Build applied AI product features
- Build data pipelines
- Build document processing infrastructure
- Build multimodal models for document layout awareness
- Build self correcting system
- Create QA agent for low confidence results
- Deploy optimizer agent in loop
- Design LLM techniques for document use cases
- Develop chunking strategies for long documents
- Evaluate model performance
- Monitor models in production
- Run experiments to improve model performance
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Deep learning | Document processing | Experimentation | LLM-Ops | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | Python
Education
N/A
Regions
Countries
States
Cities
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