携程Learning Specialist 海外酒店业务培训主管(MJ017127)

1、负责海外地区本地雇员及中国外派员工的人力运营工作，包括员工入职、离职、转正、调岗等流程管理，确保流程的高效执行； 2、参与人力运营方案、工作流程、服务标准等体系的制定，确保各项工作的合法合规、流程高效、员工体验良好，持续优化现有流程，提高运营效率; 3、收集并整理人力运营数据，分析运营效果，为管理层提供决策支持。通过数据分析，发现潜在问题，提出改进建议。 4、与海外各部门、中国总部以及外部合作伙伴保持密切沟通，确保人力运营工作的顺利推进。协调资源，解决跨部门合作中的问题和挑战。 OPS团队定位： 专注于海外地区人力运营，负责本地雇员及中国外派员工的高效流程管理、员工体验优化及合法合规执行。搭建人力运营方案、流程与服务标准，主导海外人力项目，为人力资源管理提供坚实支持。 Job Responsibilities: 1.Be responsible for the human resources operations of local employees in overseas regions and Chinese expatriate staff, including managing processes such as employee onboarding, offboarding, probation 2.completion, and job transfers, to ensure efficient execution of these procedures. 3.Participate in the formulation of human resources operation plans, workflows, service standards, and other systems to ensure the legality, compliance, efficiency of processes, and positive employee experiences. Continuously optimize existing processes to improve operational efficiency. 4.Collect and organize human resources operation data, analyze operational effectiveness, and provide decision support to management. Through data analysis, identify potential issues and propose improvement suggestions. 5.Maintain close communication with overseas departments, the Chinese headquarters, and external partners to ensure the smooth advancement of human resources operation work. Coordinate resources and resolve issues and challenges in cross-departmental collaboration. OPS Team Positioning: Focused on overseas human resources operations, responsible for managing the efficient processes, optimizing employee experiences, and ensuring legal compliance for both local employees and Chinese expatriate staff. Establishing human resources operation plans, workflows, and service standards, leading overseas human resources projects, and providing solid support for human resource management.

Develop and improve the training framework for the international hotel business development team based on industry outlook and business needs analysis.Collaborate with other team members across the company (Product, R&D, Operations, etc.) to develop and implement plans to increase employee effectiveness through the use of training sessions or e-learning content.Identify and analyze training demands of international hotel business teams. Plan, coordinate, develop, and implement training projects, be result-oriented, track and review the progress periodically, and follow up with optimization iteration.Produce high-quality content according to the development needs of the business or to address business pain points. Quantitative mastery of ppt and video content creation is required. Using newsletter designing/video authoring tools to create simple, attractive, yet impactful posters/videos.Edit and proofread the learning materials to help ensure error-free contentContinuous optimization of training courses and materials, and effectively extract the best practices, methodologies, tools, and cases based on the business needs. Able to deliver workshops and lectures in fluent English, empower the business team through training projects, and be accountable for the training effectiveness

1. 负责以下方向的模型研发：目标检测、跟踪、RelD、人脸识别、动作识别、分割等； 2. 负责各模型的数据集构建和分析； 3. 负责AI模型在IOT嵌入式芯片平台产品中落地、客诉分析和解决； 4. 负责AI模型的持续优化及模型的应用创新;

We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. DAI AIX – AI Acceleration and Exploration, is working on the cutting-edge research of Data Analytics and AI with Siemens global technology network, and consulting, co-creation, data driven applications for the end customers. Research Scientist is to do applied research for Industrial AI applications in the team. We are seeking a Reinforcement Learning (RL) Specialist to lead the design, implementation, and optimization of RL-driven systems for post-training of foundation models. The primary focus of this role is advancing our RL capabilities for real-world applications such as industrial control systems and LLM agents. You will develop cutting-edge algorithms, improve post-training efficiency, and deploy scalable RL solutions in industry. You'll make an impact by • 1. Reinforcement learning development for post-training: • Design and implement state-of-the-art RL algorithms (e.g., PPO, SAC, DQN) for post-training of foundation models like LLMs and time series foundation models. • Implement distributed RL training pipelines using frameworks like Ray RLlib, Deepspeed, or custom solutions. • Design and implement benchmark pipelines for model evaluation. • 2. Align foundation models like LLMs and time series foundation models with specific areas/tasks through techniques like SFT, RL. • 3. Coding & Infrastructure: • Write production-grade Python code using PyTorch, numpy, and pandas. • Manage Linux-based clusters for distributed training and deployment. • 4. All other support required by the line manager if necessary.