AI专家 (计算机视觉/时序数据分析方向) _VM
Bosch
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
We are seeking the AI expert to drive the transformation of our manufacturing systems through cutting-edge artificial intelligence technologies. This role requires not only deep technical expertise but also strong strategic thinking and cross-functional collaboration skills to translate AI innovations into measurable business value.
As a core member of our digital transformation initiative,(working closely with product managers, solution architects, full-stack developers, and data engineers), you will innovate , design and deliver AI solutions for our 4 plants in China and enable AI development .
Leverage large-scale data generated from the production processes and apply state-of-the-art AI technologies to improve equipment and process stability, enhance product quality, and optimize production efficiency and cost.
Deploy machine learning / deep learning models (e.g., CNNs, transformers, anomaly detection, segmentation models) and classical vision algorithms, balancing accuracy, robustness and real-time performance.
You will also be responsible for designing and developing modular and scalable AI architectures, formulating enterprise-level AI roadmaps, and ensuring successful deployment across global production environments.
This position is ideal for individuals who are passionate about industrial innovation, capable of bridging the gap between research and operations, and ready to shape the future of intelligent manufacturing.
Qualifications
Skills
Well mastered and good understanding of symbolic AI, knowledge representation, inference engines, and hybrid AI approaches (symbolic + data-driven), Strong cability in AI innovation to industrialization collaborating with business doman experts and Product managers.High learning capability of market latest AI technologies.
Solid foundation in statistics, linear algebra and optimization and common numerical optimization methods (e.g., linear / nonlinear programming, gradient-based methods, Bayesian optimization), familiar with computer vision technologies.
Solid AI modeling competence dealing with structured-, and semi-structured unstructured data processing, including text documents, reports, logs, and operational records
Familiarity with common machine learning and deep learning algorithms, with the ability to evaluate model suitability for different problem domains, Solid understanding of Expert Systems, including rule-based systems, knowledge bases, and inference mechanisms
Knowledge of data modeling, feature engineering concepts, and basic data pipelines, familiarity with basic data analysis and feature extraction methods
Excellent communication skills(incl.English presentations),be capable of AI enabling & penetration for non-technical stakeholders & organization.
Proficient programming skills and good engineering practices; fluent in at least one mainstream language such as Python (preferred), C++ or Java; familiarity with common vision/AI libraries (OpenCV, PyTorch, TensorFlow, ONNX, etc.).
Experience
3+ years of experience in AI research, applied AI, or advanced analytics, preferably with exposure to industrial or manufacturing-related scenarios
Experience participating in AI solution design or feasibility studies, from problem definition to conceptual solution architecture
Hands-on experience developing proof-of-concept (PoC) or prototype AI models rather than full production systems
Experience working with cross-functional teams (e.g., product, IT, data teams) to translate business problems into AI-driven approaches
Background involving academic research, corporate research labs, or innovation centers is a plus
Education
Master’s degree or above in Computer Science, Automation, Information Systems, Engineering, Applied Mathematics, Statistics or a related field or related fields, strong ability to read and analyze technical and research literature.
- Formal training or coursework related to knowledge-based systems, decision systems, or industrial informatics is a plus
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Additional Information
该岗位内部推荐奖金为人民币 8000 元整(仅限博世内部员工申请),具体请参见《博世中国内部推荐政策》
Internal Referral bonus of this vacancy: RMB 8000 (Valid only for Bosch associates). For the detailed regulation, please refer to Bosch China Internal Referral Policy.