Job Description:

Technical Proficiency: Master at least one programming language among Python, Go, or C++, with exceptional command over code quality and structure.
System Scalability: Familiar with high-concurrency and asynchronous programming models. Possess hands-on experience in processing PB-scale data or building high-throughput data systems.
LLM Core Competencies: Profound understanding of the Transformer architecture and the full lifecycle of large models (Pre-training, SFT, RLHF).
Required Experience: Must have practical experience in Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF/DPO).
End-to-End Execution: Capable of independently designing and executing a complete loop from data construction and model training to performance evaluation, with a deep understanding of how data impacts model performance at different stages.
Advanced Qualifications: Experience with multi-modal data processing, or a proven track record of building large-scale data annotation platforms or automated data production pipelines from scratch (0 to 1).

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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