LLM Data Scientist/Algorithm Engineer
Tasks
- Build retrieval augmented generation QA and search systems
- Collaborate with product and CS teams on AI integration
- Deploy and operate LLM services on multi GPU environments
- Design and optimize prompts
- Develop and refine large language models
- Develop evaluation pipelines for model and prompt quality
- Implement multi agent LLM architectures
- Integrate AI models into conversational chatbots
- Own the LLM pipeline from data preparation to production
- Track research and improve model architectures
Perks/Benefits
Skills/Tech-stack
Agent systems | Autogen | Automatic Evaluation | Bias Evaluation | CrewAI | DPO | Deep learning | Hallucination detection | Human Feedback | Inference Optimization | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Inference | Model Inference Optimization | Multi-Agent | Multi-Agent Systems | Multi-GPU | Natural Language | Natural Language Processing | Prompt engineering | Python | Quantization | RAG | Re-ranking | Retrieval-Augmented Generation | Reward Re Ranking | SFT | SGLang | Tool-Calling | VLLM
Education
Regions
Countries
States
Cities
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