Data Scientist Lead - LLM (Chatbot)
Tasks
- Build RAG systems
- Collaborate with product and customer service teams
- Deploy LLM services
- Design multi-agent LLM architectures
- Develop model evaluation pipelines
- Integrate LLMs into chatbots
- Optimize prompts
- Own LLM pipeline
- Track research and improve architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Autogen | Bias detection | CrewAI | Direct Preference Optimization | Evaluation | Fine Tuning | Hallucination detection | Human Feedback | Inference Optimization | 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 | Preference optimization | Prompt engineering | Python | Quantization | RAG | Retrieval-Augmented Generation | SGLang | Supervised Fine Tuning | Tool-Calling | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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