Overview:
The Senior Data Engineer Machine Learning Python plays a crucial role in our organization by leading and contributing to the development maintenance and enhancement of our data infrastructure and machine learning models. This position is essential to ensuring the accuracy reliability and efficiency of our data processes and machine learning applications. The Senior Data Engineer will collaborate with crossfunctional teams to deliver highquality solutions and drive datadriven insights to support decisionmaking.
Key Responsibilities:
- Drive core technology development for LLM 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 frameworks that can be adapted to various domains driving innovation and maintaining a competitive edge in the market.
Required Qualifications:
- PhD degree required with top artificial intelligence conference papers (NeurIPS ICML ICLR CVPR ACL OSDI NSDI SC and SigMOD etc.) in machine learning (ML) computer vision (CV) natural language processing (NLP) and other fields.
- Programming skills data structure and algorithm skills proficient in C/C or Python programming language candidates with awards in ACM/ICPC NOI/IOI Top Coder Kaggle and other competitions are preferred.
- Research 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.
- Passionate about technology good communication skills and teamwork spirit.
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