Data Scientist Lead - LLM (Chatbot)
Tasks
- Build RAG QA and search systems
- Create evaluation pipelines for model quality
- Deploy and operate LLM services
- Design multi-agent LLM architectures
- Integrate AI into customer service chatbots
- Optimize prompts for utility and safety
- Own LLM pipeline
- Research and improve LLM architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent systems | Autogen | CrewAI | Direct Preference Optimization | Evaluation metrics | Fine Tuning | Human Feedback | Inference Optimization | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-GPU | Natural Language | Natural Language Processing | Preference optimization | Prompt engineering | Python | Quantization | RAG | Retrieval-Augmented Generation | SGLang | Supervised Fine Tuning | Tool-Calling | VLLM
Education
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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