Senior Machine Learning Engineer / Data Scientist
Tasks
- Architect and implement scalable RAG and LLM systems
- Build and maintain agentic orchestration frameworks
- Build data pipelines to harmonize omics datasets for model training
- Collaborate with cross-functional teams
- Coordinate multi agent systems for scientific reasoning retrieval and decision support
- Design and deploy graph based RAG pipelines
- Develop conversational AI chatbot interfaces
- Ensure model outputs are biologically interpretable and experimentally testable
- Integrate knowledge graphs documents and structured biological datasets
- Optimize LLM powered pipelines and multi agent systems
Perks/Benefits
Skills/Tech-stack
Agentic Orchestration | Causal Inference | Conversational AI | Graph Databases | Graph RAG | Hugging Face | Hugging Face Transformers | Knowledge graphs | LLM Applications | Langchain | Language Models | Language Processing | Large Language Models | Multiomics | Natural Language | Natural Language Processing | Probabilistic Modeling | PyTorch | Python | Retrieval-Augmented Generation | Statistical inference | Vector Databases
Education
Regions
Countries
States
Cities
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