牛大妈在社招职位搜索Large Language Model Algorithm 有 3 条结果

招聘城市：迪拜
…stage; drive model implementation and continuous iteration.
3.供需匹配策略与应用 | Supply-Demand Matching Strategy & Execution
制定并落地覆盖配送范围划定、骑手排班、实时调度、爆单控制、补贴活动设计与执行等场景的供需匹配策略，提升运力利用率与配送体验。
English: Develop and implement supply-demand matching strategies across delivery zone definition, courier scheduling, real-time dispatch, order surge control, and subsidy campaign design and execution; improve courier utilization and overall delivery experience.
4.服务解决方案设计与交付 | Service Solution Design & Delivery
针对不同场景（大订单、远距离、特殊时段等）设计差异化服务解决方案，协调产品、算法、运营等跨职能团队推动方案落地交付。
English: Design differentiated service solutions for specific scenarios such as large orders, long-distance delivery, and off-peak periods; coordinate cross-functional teams including product, algorithm…

招聘城市：深圳
…related to overseas business and globalizations to provide valuable reference or basis for the company’s overseas development and optimization.
Participate in other specific projects in the overall overseas HR construction and provide good collaborative support for various functions
Who We Look For
Minimum of 1 year of experience in talent management and change management, with a comprehensive understanding of HR functions and their sub-disciplines.
Strong resilience in navigating ambiguity and complexity within global, fast-paced environments.
Strong interest in AI and leveraging large language model (LLM) capabilities to drive efficiency improvements.
Strong systematic thinking and advanced data analytics skills, balanced with the ability to integrate the human factor into policy and process design.
Collaborative team player with excellent communication and interpersonal skills.
Bilingual proficiency in English and Mandarin, enabling effective collaboration with international stakeholders and headquarters-based teams.
Equal Employment Opportunity at Tencent
As an equal opportunity employer…

招聘城市：北京
…open-source contributions, publications, orconference talks
任职要求：
• 5+ years of professional software engineering experience, with a strong track record inAI/ML systems or large-scale infrastructure
• Deep expertise in distributed systems architecture: microservices, event-drivenarchitecture, data-intensive applications at massive scale
• Proven experience building and operating AI/ML platforms or infrastructure (modeltraining, serving, feature engineering, or MLOps)
• Strong knowledge of deep learning frameworks (PyTorch, TensorFlow, JAX) and MLsystem internals
• Proficiency in 2+ programming languages (e.g., Python, Go, C++, Rust, Java, Scala)
• Extensive experience with cloud-native technologies at scale: Kubernetes, Docker,AWS/GCP/Azure, CI/CD pipelines
• Familiarity with GPU programming and high-performance computing concepts (CUDA,distributed training, model parallelism)
• Demonstrated ability to drive cross-team/cross-org technical alignment and influencewithout authority
• Excellent communication skills — ability to articulate complex technical concepts todiverse audiences
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
岗位亮点：
?…