Data Scientist
Tasks
- Apply responsible AI practices for transparency traceability and governance
- Build Retrieval-Augmented Generation solutions
- Contribute to technical design reviews and mentor team members
- Create reusable APIs services and interfaces
- Design agentic AI systems for scientific workflows
- Design knowledge retrieval using vector databases and knowledge graphs
- Develop knowledge-grounded AI systems
- Develop tool calling and tool orchestration
- Engineer end to end AI workflow pipelines
- Evaluate AI systems agents and workflows
- Implement multi-step reasoning workflows
- Integrate foundation and scientific AI models into workflows
- Measure accuracy reliability scientific relevance hallucination rates and effectiveness
- Partner with scientists to translate research needs into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Frameworks | Autogen | Cloud AI | CrewAI | Deep learning | Distributed Systems | Graph RAG | Information Retrieval | Knowledge graphs | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Python | RAG | Retrieval-Augmented Generation | Scalable architectures | Semantic Kernel | Tool orchestration | Vector Databases
Education
Roles
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