Overview:
The Senior Data Engineer Machine Learning is a crucial role within our organization responsible for overseeing the development and deployment of machine learning models and algorithms. The individual will play a key part in driving datadriven decisionmaking processes and optimizing data infrastructure to support machine learning initiatives.
Key Responsibilities:
- Responsible for the research and implementation of related algorithms in the fields of taskbased dialogue open domain QA and customer service Chatbot.
- Drive core technology development for LLM (especially for RAG and chatbot) continuously optimizing comprehension reasoning and generation capabilities.
- Collaborate with crossfunctional teams to integrate advanced LLM solutions into existing systems ensuring seamless operation and maximum impact.
- Work closely with prompt engineers to refine and optimize prompt design enabling more accurate and contextually relevant outputs from LLMs.
- Conduct cuttingedge research to stay ahead of the latest developments in LLM and AGI technologies applying these advancements to solve complex business challenges.
- Develop scalable and robust LLM/RAG frameworks that can be adapted to chatbot driving innovation and maintaining a competitive edge in the market.
Required Qualifications:
- Programming skills data structure and algorithm skills proficient in C/C or Python programming language.
- Handson experience in the field of machine learning especially in large language models (LLMs) and generative artificial intelligence.
- Excellent problem analysis and solving skills and passionate about solving challenging problems.
- Stay ahead of the latest developments in LLM and AGI technologies.
- Passionate about technology good communication skills and teamwork spirit.
teamwork,data engineering,rag,open domain qa,customer service chatbot,sql,python,algorithms,machine learning,dialogue algorithms,aws,chatbot frameworks,c++,c/c++ programming,data infrastructure,c,problem analysis,llm