- Architect and implement ML/DL models to parse and interpret text and complex chemical structures from scanned PDF documents.
- Develop and optimize LLM applications, utilizing vector databases for semantic search and retrieval-augmented generation (RAG).
- Manage the end-to-end ML lifecycle including data preprocessing for chemical data and OCR, model training, evaluation, deployment, and monitoring.
- Translate molecular structures and chemical data into machine-readable formats and embeddings using chemistry domain knowledge.
- Deploy scalable AI/ML pipelines within the AWS ecosystem ensuring high availability.
- Collaborate cross-functionally with software and data engineers to integrate models into the core product.
AWSPythonMachine Learning+4 more