Manager, Data Scientist
Tasks
- Architect enterprise AI platforms
- Build RAG solutions
- Deploy scalable production AI systems
- Design multi-agent systems
- Develop agentic AI solutions
- Develop knowledge graphs and ontologies
- Ensure AI governance evaluation and observability
- Establish LLMOps best practices
- Implement agent orchestration
- Integrate tools and memory management
- Lead AI platform architecture
- Mentor AI engineers and data scientists
- Prototype and validate AI use cases
Perks/Benefits
- Career growth
- Health and wellbeing programs
- Learning and development
- Relocation assistance
- Supportive work culture
- Travel opportunity
Skills/Tech-stack
AI Foundry | AI Governance | AI orchestration | Agent systems | Agentic AI | Autogen | Azure AI | Azure AI Foundry | Context engineering | CrewAI | Databricks | Enterprise Architecture | Generative AI | Knowledge graphs | LLMOps | Langgraph | Language Models | Large Language Models | Machine Learning | Model Optimization | Multi-Agent | Multi-Agent Systems | Observability | Ontologies | OpenAI Agents | Prompt engineering | Python | Retrieval-Augmented Generation | Safety | Security | Semantic Kernel | Vector Databases
Education
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