Machine Learning Engineer - Document Intelligence
Tasks
- Build and optimize entity extraction and entity resolution
- Collaborate with engineers and product teams on AI features
- Conduct model evaluation and benchmarking
- Create scalable ML pipelines for preprocessing feature engineering training and inference
- Design and implement LLM based document parsing
- Develop document classification models
- Perform code reviews and participate in design discussions
- Perform exploratory data analysis on document datasets
- Write testable maintainable code with automation observability and scalability
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Data Analysis | Data Preprocessing | Deep learning | DeepEval | Docker | Exploratory Data Analysis | Feature Engineering | Fine Tuning | GCP | Graph Neural Networks | Imitation Learning | Information Retrieval | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Fine-tuning | Multi-Modal | Multi-modal Models | Natural Language | Natural Language Processing | Neural Networks | PEFT | PySpark | PyTorch | Python | RAG | Ragas | Reinforcement Learning | SQL | TensorFlow | Text-to-SQL
Education
Regions
Countries
States
Cities
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