Digital Hub China in Nanjing attracts, grows, and develops passionate people who will meaningfully impact the digital future of BASF. Come join us and be a part of our digitalization journey.
位于南京的巴斯夫中国数字化中心吸引、培养和发展充满热情的数字化人才，他们将对巴斯夫的数字化未来产生深远的影响。快来加入我们，成为巴斯夫数字化之旅的一部分。

Objectives:
The “Production AI – Plant & Site Analytics” team provides data products and Artificial Intelligence solutions for BASF's production plants: From data-driven soft sensors up to optimization - close to the chemical process, combining domain expertise in chemical process engineering and material science with in-depth skills utilizing AI, Machine Learning, and graph-based data analysis. Our team develops innovative solutions to derive insights from production data that support better and faster decisions. We implement data-driven solutions in its complete lifecycle for users in Production and Technology.

The focus of the role is on the acquisition of local projects, the systematic requirements engineering for the adaptation or new functionalities in our AI solutions as well as the development and implementation of use cases with our internal business partner.
- As an AI Engineer, you will be responsible for the development of (Generative) AI-based solutions that meet the needs of the users.
- You will continuously improve and optimize our AI solution portfolio to enhance the performance, accuracy, efficiency, and scalability of the solutions.
- You ensure an efficient collaboration with regional and global BASF units in both project execution as well as service and support.

Main Task:
- Lead the design, development, and maintenance of web-based AI solutions, ensuring robust functionality and seamless user experience.
- Design and implement scalable and efficient AI infrastructure, including data pipelines, model serving, and monitoring systems.
- Develop computer vision algorithms and systems for tasks such as image recognition, object detection, and image segmentation. Utilize techniques like convolutional neural networks (CNN) and deep learning.
- Develop and implement machine learning models using techniques such as supervised learning, unsupervised learning, and reinforcement learning.
- Collaborate with product managers, solution designers, and other developers to integrate machine learning models into production systems, ensuring technical feasibility, scalability and performance.
- Conduct research and stay updated on the latest advancements in Machine Learning and AI and apply these techniques to solve real-world problems. Contribute to continuous learning within the organization.
- Communicate complex technical concepts and results to both technical and non-technical stakeholders, ensuring alignment with business objectives.


Job Requirement:
- Advanced degrees: Master or PhD in engineering, process engineering, computer science, information technology, mathematics, statistics, or natural sciences.
- Minimum 3 years’ related working experience in software engineering.
- Project management (continuously exchanging with internal business partners, budget, work organization).
- Proficiency in programming languages and familiarity with AI frameworks and libraries.
- Experience working in Agile/Scrum environments, with a focus on delivering high-quality results in iterative cycles and with the ability to contribute to sprint planning, estimation, and retrospectives.
- Proficient in DevOps practices, including experience with CI/CD tools, e.g., Git and integration with Azure Repos and experience with collaborative coding practices (branching strategies, pull requests, and code reviews)
- Strong programming skills in Python
- Strong proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and modern JavaScript frameworks/libraries (e.g., React)
- Proficiency in machine learning algorithms, model evaluation, and optimization techniques, with experience in handling large-scale datasets
- Working knowledge in the development of complex data science software solutions preferably with the Microsoft Azure product portfolio
- Comfortable working in highly complex environment with multiple stakeholders and with strong pressure to deliver on time and on budget.
- A growth mindset with a curiosity to learn and improve.
- Team player with strong interpersonal, written, and verbal communication skills.

Nice to have:
- Proven track record of successful AI-driven projects, preferably in an industrial setting.
- Experience with other AI technologies, such as natural language processing or reinforcement learning.
- Knowledge of data engineering and preprocessing, including handling large datasets and ensuring data quality.

Digital Hub China was founded in 2020 in Nanjing. As part of the Global Digital Hub Verbund, the hub is rapidly growing with a target of a three-digit number of employees in coming years. Focused on digitalization and innovative IT solutions to enhance BASF’s IT portfolio and expertise in China, it brings an all-around capable team of digital talents to create solutions in the context of China’s unique digital landscape to BASF. It also contributes to the smart manufacturing endeavors for the new mega project in Zhanjiang.
At BASF, we create chemistry for a sustainable future. We combine economic success with environmental protection and social responsibility. More than 110,000 employees in the BASF Group contribute to the success of our customers in nearly all sectors and almost every country in the world. Our portfolio is organized into six segments: Chemicals, Materials, Industrial Solutions, Surface Technologies, Nutrition & Care and Agricultural Solutions. BASF generated sales of €59 billion in 2020. Further information at www.basf.com.
巴斯夫中国数字化中心于2020年在南京成立。作为全球数字中心的重要部分，中国中心正在迅速发展中，未来将会有更多岗位开放。巴斯夫专注于数字化和创新的IT解决方案，以增强巴斯夫在中国的IT化和专业化，为巴斯夫带来了一支全方位的数字化人才团队，在中国独特的数字化环境中创造解决方案。中心还为湛江一体化基地等大型项目的智能制造做出贡献。
在巴斯夫，我们为可持续发展的未来，创造化学新作用。我们将经济成功与环境保护相结合。我们肩负社会责任。巴斯夫集团超过110，000名员工为巴斯夫的成功做出了贡献。我们的客户遍布世界上几乎所有行业和几乎每个国家。我们的产品组合分为六个部分：化学品，材料，工业解决方案，表面活性剂，营养与护理以及农业解决方案。巴斯夫2020 年销售额为 590 亿欧元。更多信息请见 www.basf.com。

BASF Asia-Pacific Service Center is based in Malaysia, we may reach you via Malaysia phone number.

请时刻警惕任何可能的招聘欺诈行为！请注意，巴斯夫绝不会在任何情况下向候选人以任何形式收取任何费用。