Senior Applied Scientist, New Initiatives
Tasks
- Apply machine learning for time series forecasting and pattern recognition
- Build RAG pipelines with knowledge bases
- Build multi agent architectures for optimization
- Design and deploy agentic AI systems
- Develop tool augmented LLM applications with external APIs
- Drive end to end product development from research to production
- Establish experimentation frameworks to validate model performance
- Implement multimodal AI systems for data synthesis
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Cloud Computing | Deep learning | External APIs | Forecasting | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multimodal AI | Orchestration | Pattern Recognition | RAG | Retrieval-Augmented Generation | Series analysis | Time Series | Time Series Analysis | Tool Augmented LLM
Education
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