AMDAI Software Development Engineer
任职要求
The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Model Development & Training Implement, fine-tune, and train deep learning models using frameworks such as PyTorch, TensorFlow, or ONNX. Automate model training and evaluation pipelines for reproducibility and scalability. Model Optimization Apply quantization, pr…工作职责
THE ROLE: AMD is looking for a senior software engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and enhance AMD’s abilities to deliver the highest quality, industry-leading technologies to market.
We are aiming to leverage AI and other leading technology and dedicated to provide safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., We are the leading platform with capabilities of high concurrent real-time risk calculations and massive big data analysis and processing. And as the core risk management tech platform for global payment business, we adopt a multi-center deployment architecture around the world. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. 4. Participated in the design of R&D of risk control systems and big data platforms. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems.
TCS(Tencent Cloud-native Suite) is a Cloud-Native Platform for Enterprise Cloud-Native Transformation supports on-premise bare metal or third-party IaaS deployments. Product Solutions Architect (PDSA) is a key pre-sales technical position in Tencent Cloud - TCS product team. Our PDSAs are experienced solution architects with professional knowledge and industry insight and are, ultimately, the pivotal role in supporting the global sales team by providing cloud-native solutions, striving to meet product sales targets, and leading key projects for customer onboarding. Job Responsibilities: ● Acting as a subject matter expert on Tencent Cloud - TCS products (container, microservice, message queue), providing training and enablement to the account and Solution Architect (SA) teams. ● Supporting regional events and marketing programs to promote Tencent TCS solutions to potential customers. ● Delivering optimized solutions and advocating best practices to customers by utilizing the full capabilities of Tencent TCS products. ● Gathering and analyzing customer feedback to enhance product offerings, improve market competitiveness and help build the product roadmap continually. ● Monitoring key industry trends and technological shifts, offering trusted advice to customers for optimizing their IT infrastructure and improving their user experience. ● Expanding the product ecosystem through collaboration with global channels, industrial partners and third-party Independent Software Vendors (ISVs). Creating position papers, and aligning advocacy efforts with Tencent Cloud’s core business policies across multiple departments (business, security, legal, and government affairs). ● Reporting to the Head of the product architect team, this role requires a dynamic, curious, and technology-driven candidate who thrives in challenging environments and can navigate ambiguity with strategic insight.
1、基于最新的大模型、深度学习、机器学习、统计学和优化技术，开发创新算法并为业务问题构建原型； 2、通过无监督学习、聚类算法等技术，从海量数据中发现潜在的模式和趋势，提出数据驱动的业务解决方案； 3、与产品经理和跨职能团队合作，定义用户故事和成功指标，管理数据项目从0到1的全过程； 4、使用AB测试等方法验证项目的商业价值和预期收益，并持续优化模型性能； 5、与工程团队合作部署数据模型，并将解决方案规模化。 1.Develop innovative algorithms and build prototypes for business problems using the latest deep learning, machine learning, statistical, and optimization techniques; 2.Use unsupervised learning and clustering algorithms to discover potential patterns and trends from large datasets and propose data-driven business solutions; 3.Collaborate with product managers and cross-functional teams to define user stories and success metrics, managing data projects from 0 to 1; 4.Use methods like AB testing to validate the business value and expected revenue of projects and continuously optimize model performance; 5.Work with engineering teams to deploy data models and scale solutions.
1. Based on the customer's scenario, combine cloud products to create deployable solutions. 2. Continuously analyze the effectiveness of the solution, attend to user feedback, identify and abstract typical issues, and optimize the solution to enhance the user experience. 3. Participate in project development and management, collaborating with product managers, software engineers, test engineers, UI/UX designers, and product operations to drive project execution.