Machine Learning Engineer III - Document Intelligence
USA, CA, Pleasanton, United States
USD 160K-240K Senior-level Full Time
Tasks
- Build and optimize LLM based document parsing entity extraction and classification
- Build knowledge graphs for information retrieval and entity resolution
- Conduct A B testing for model evaluation and benchmarking
- Design and develop document intelligence platform services
- Develop scalable ML pipelines for data preprocessing feature engineering training and inference
- Improve model accuracy efficiency and scalability using traditional ML and deep learning
- Perform code reviews and participate in system design discussions
- Perform exploratory data analysis on document datasets
- Write maintainable testable and automatable code for ML systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Data Preprocessing | Deep learning | Docker | Feature Engineering | GCP | Graph Neural Networks | Imitation Learning | Information Retrieval | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | Multimodal Models | Natural Language | Natural Language Processing | Neural Networks | PEFT | PySpark | PyTorch | Python | RAG | Recommender Systems | Reinforcement Learning | SQL | TensorFlow | Text-to-SQL
Education
Regions
Countries
States
Cities
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