Computer Scientist - II
Tasks
- Architect event driven real time systems
- Build scalable backend services and APIs
- Collaborate with data engineering teams
- Design and build agentic AI solutions
- Develop and deploy LLM-powered applications
- Establish AI evaluation observability and governance
- Fine-tune and optimize models
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | API Development | Agent systems | Data Processing | Event Driven | Event-driven architecture | Fine Tuning | GRPO | Governance | Kubernetes | LLM | LLMOps | LoRA | MLOps | Microservices | Model Fine-tuning | Model Optimization | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | RLHF | Real Time | Real-time Data | Real-time Data Processing | Reinforcement Learning | Streaming systems | Telemetry | Vectorless
Education
N/A
Roles
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