数字化工业 人工智能 应用部署工程师

Job description

In order for our society to transition the mobility sector and energy grid to renewable energies, the industry needs to produce battery cells on a terawatt scale. Manufacturing is at the forefront of this revolution to reduce scrap rates, accelerate ramp-ups of new production lines and shorten feedback loops to optimize processes more quickly.

At Siemens, we build manufacturing from the ground up: from automation controls to large scale distributed systems and analytics which are fundamentally changing the way that batteries are being produced. And we mean fundamentally: our work will cut production times in half and save at least 5 percentage points of scrap for state-of-the-art Gigafactories.

为了让我们的社会将交通领域和能源网过渡到可再生能源，工业需要生产兆瓦级规模的电池。为了降低废品率、加快新生产线的投产速度、缩短反馈回路以更快地优化流程，制造业处于这场革命的最前沿。

在西门子，我们从头开始打造制造业：从自动化控制到大型分布式系统和分析，这些都从根本上改变了电池的生产方式。我们是说从根本上：我们的工作将使生产时间缩短一半，并为最先进的 Gigafactories 减少至少 5 个百分点的废品率。

What part you will play

We are seeking a talented and motivated AI Deployment Engineer to join our dynamic team. As an AI Deployment Engineer, you will play a critical role in implementing and optimizing AI solutions across various platforms and environments. Your expertise will bridge the gap between AI research and practical deployment, ensuring our cutting-edge AI models and applications are successfully integrated into real-world scenarios.

你的角色

我们正在寻求一位才华横溢、积极进取的人工智能部署工程师加入我们充满活力的团队。作为一名人工智能部署工程师，您将在跨各种平台和环境实施和优化人工智能解决方案方面发挥关键作用。您的专业知识将在人工智能研究和实际部署之间架起一座桥梁，确保我们的尖端人工智能模型和应用程序成功地集成到现实世界的应用场景中。

Responsibilities

• AI Solution Implementation: Collaborate with cross-functional teams to deploy AI models and applications into production environments. Customize and fine-tune AI algorithms to meet specific project requirements.

• System Integration: Integrate AI solutions seamlessly with existing software systems, applications, and hardware components. Ensure compatibility, reliability, and performance across different platforms.

• Infrastructure Setup: Design and set up the necessary hardware and software infrastructure to support AI deployment, including cloud services, servers, databases, and networking components.

• Optimization and Performance: Monitor and optimize AI solutions for efficiency, speed, and accuracy. Identify and resolve bottlenecks, memory leaks, and other performance-related issues.

• Testing and Validation: Develop robust testing protocols to validate the functionality and reliability of AI deployments. Conduct thorough testing, debugging, and troubleshooting to ensure smooth operation.

• Documentation: Create comprehensive documentation for deployment processes, configurations, and troubleshooting guidelines. Maintain clear and organized records of deployment steps and changes.

• Collaboration: Work closely with data scientists, software engineers, and project managers to ensure successful deployment of AI solutions. Provide technical guidance and support to team members.

• Security and Compliance: Implement security best practices to protect sensitive data and ensure compliance with data protection regulations. Stay updated on industry standards and emerging trends.

• Training and Support: Provide training to end-users and stakeholders on how to interact with deployed AI solutions. Offer ongoing technical support and address any deployment-related issues.

你的职责

• 人工智能解决方案实施： 与跨职能团队合作，将人工智能模型和应用程序部署到生产环境中。定制并微调人工智能算法，以满足特定项目要求。

• 系统集成： 将人工智能解决方案与现有软件系统、应用程序和硬件组件无缝集成。确保不同平台之间的兼容性、可靠性和性能。

• 基础设施设置： 设计并设置支持人工智能部署所需的硬件和软件基础设施，包括云服务、服务器、数据库和网络组件。

• 优化和性能： 监控和优化人工智能解决方案，以提高效率、速度和准确性。识别并解决瓶颈、内存泄漏和其他性能相关问题。

• 测试与验证： 制定强大的测试协议，以验证人工智能部署的功能性和可靠性。进行彻底的测试、调试和故障排除，以确保顺利运行。

• 文档： 为部署流程、配置和故障排除指南创建全面的文档。保持清晰有序的部署步骤和变更记录。

• 协作： 与数据科学家、软件工程师和项目经理密切合作，确保成功部署人工智能解决方案。为团队成员提供技术指导和支持。

• 安全与合规： 实施安全最佳实践，保护敏感数据，确保符合数据保护法规。随时更新行业标准和新兴趋势。

• 培训与支持： 就如何与已部署的人工智能解决方案进行交互，为最终用户和利益相关者提供培训。提供持续的技术支持，解决任何与部署相关的问题。

Required Knowledge / Skills, Education, and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience in deploying AI models and applications in production environments.

• Strong programming skills in languages such as Python, Java, or C++.

• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and deployment tools (e.g., Docker, Kubernetes).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and virtualization technologies.

• Solid understanding of software development lifecycle, version control, and continuous integration/continuous deployment (CI/CD) processes.

• Excellent problem-solving skills and the ability to diagnose and address technical issues quickly.

• Effective communication skills and the ability to work collaboratively in a team environment.

• Knowledge of data privacy and security considerations in AI deployment is a plus.

• If you are passionate about AI technology and have a knack for turning complex algorithms into practical solutions, we encourage you to apply. Join us in shaping the future of AI deployment and making a meaningful impact in various industries.

你的技能

• 计算机科学、工程或相关专业的学士或硕士学位。

• 具有在生产环境中部署人工智能模型和应用程序的丰富经验。

• 熟练掌握 Python、Java 或 C++ 等语言的编程技能。

• 熟悉机器学习框架（如 TensorFlow、PyTorch）和部署工具（如 Docker、Kubernetes）。

• 具有云平台（如 AWS、Azure、Google Cloud）和虚拟化技术方面的经验。

• 扎实了解软件开发生命周期、版本控制和持续集成/持续部署（CI/CD）流程。

• 出色的问题解决技能以及快速诊断和解决技术问题的能力。

• 有效的沟通技能以及在团队环境中协同工作的能力。

• 了解人工智能部署中的数据隐私和安全考虑因素者优先考虑。

• 如果您对人工智能技术充满热情，并善于将复杂的算法转化为实用的解决方案，我们鼓励您申请。加入我们，共同塑造人工智能部署的未来，为各行各业带来有意义的影响。