Senior Machine Learning Engineer - Intelligent Document Processing / Production AI Systems
Tasks
- Build document ingestion extraction cleaning enrichment validation and storage pipelines
- Communicate with technical and non-technical stakeholders
- Create APIs internal tools review interfaces dashboards and validation workflows
- Deploy and support ML AI services in cloud or containerized environments
- Design and implement ML AI software for intelligent document processing
- Design evaluation for extraction retrieval model behavior hallucination risk and end to end performance
- Develop and evaluate NLP OCR computer vision embeddings retrieval and LLM approaches for document understanding
- Mentor engineers and raise team technical quality
- Troubleshoot system behavior across data quality retrieval infrastructure and latency
- Write production code with tests logging error handling and documentation
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud Computing | Computer Vision | Databases | Debugging | Docker | Embeddings | Evaluation | Git | Hugging Face | Kubernetes | Language Models | Large Language Models | Logging | MLflow | NLP | OCR | Observability | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Testing
Education
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