Senior Systems Engineer
Tasks
- Design and deploy RAG pipelines
- Develop scalable LLM pipelines
- Ensure model governance security and performance
- Implement MLOps LLMops CI CD monitoring
- Integrate LLMs with cloud analytics platforms
- Lead LLM architecture and strategy
- Manage fine tuning and parameter efficient training
- Mentor engineers and communicate technical concepts
- Prototype and evaluate generative AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Automated testing | Azure | CI/CD | Context Optimization | Distributed Training | Efficient Fine Tuning | Embeddings | Fine Tuning | GCP | GPU Computing | Graph retrieval | Hybrid search | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Long Context | Long Context Optimization | MLOps | Model Compression | Model Distillation | Model Governance | Model Monitoring | Multi-Agent | Multi-Agent Systems | PEFT | Parameter efficient fine-tuning | Prompt engineering | Python | Quantization | Retrieval-Augmented Generation | Transformer Models | Vector Databases
Education
N/A
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