Sr Associate Data Scientist
Tasks
- Apply responsible AI transparency traceability and governance
- Build Retrieval Augmented Generation systems
- Build knowledge graph and Graph RAG systems
- Collaborate with scientific domain experts and AI leads
- Conduct technical design reviews and mentor junior team members
- Create knowledge grounded AI systems
- Create reusable workflow patterns
- Define evaluation frameworks for AI systems
- Design agent based scientific workflows
- Develop multi-step reasoning workflows
- Develop reusable APIs for AI models and tools
- Enable multi agent collaboration patterns
- Engineer end to end AI workflows for scientific analysis
- Implement human in the loop decision workflows
- Implement knowledge retrieval and vector search
- Implement tool-calling and orchestration
- Integrate foundation models into end to end workflows
- Measure accuracy reliability scientific relevance hallucination rate
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic AI | Autogen | CrewAI | Deep learning | Distributed Systems | Evaluation Frameworks | Explainability | Governance | Graph RAG | Graph-based | Graph-based AI | Knowledge graphs | LLM Agents | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Scalable architectures | Semantic Kernel | Tool orchestration | Traceability | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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