
AI/ML Expert
Bosch · Posted Oct 16
Mobility, industrial technology, consumer goods, and energy and building technology services
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About the role
The role sits within Bosch's applied AI/ML work for the automotive domain, building models that leverage both visual and time-series data. The team focuses on designing and implementing advanced algorithms to extract meaningful patterns, make accurate predictions, and solve complex analytical challenges. This engineer will own hands-on model development, from data analysis and feature engineering through training, optimization, and evaluation.
What you will do
- Advanced Model Development Design, build, and validate machine learning models for a variety of complex tasks, including: Computer Vision: Object Detection, Image Segmentation, Facial Analysis, and Classification.
- Time Series Analysis: Forecasting, Anomaly Detection, and Classification of sequential data.
- Multi-Modal Modeling: Fusing visual and temporal data to create more powerful predictive models.
- Algorithm Implementation and train a wide range of models, including Deep Learning architectures (CNNs, Transformers, LSTMs, GRUs) and traditional statistical methods (e.g., ARIMA, Prophet).
- Stay current with state-of-the-art techniques and apply them to our unique datasets.
- Data Analysis & Feature Engineering Conduct in-depth exploratory data analysis to understand data characteristics and identify predictive signals.
- Develop and implement novel feature engineering techniques tailored to both image and time-series data.
- Model Optimization & Evaluation Focus on building computationally efficient models.
- Rigorously evaluate model performance using appropriate metrics and validation strategies to ensure robustness and accuracy.
- Optimize model architecture and hyperparameters to achieve desired performance targets.
Skills used in this role
What the employer is looking for
- B-Tech
- 10+
Benefits and support
- Compensation and benefits are detailed in the job posting
About Bosch
The Bosch Group is a leading global supplier of technology and services, operating across mobility, industrial technology, consumer goods, and energy and building technology sectors. Driven by its purpose to create technology that is "Invented for life," the company leverages its expertise in hardware, software, and IoT to shape global trends such as automation, electrification, and artificial intelligence.
- Industry
- Automotive
- Company size
- 406225 employees
- Founded
- 1886
- Location
- Stuttgart, Germany
- Funding stage
- Private Company
Leadership
Chairman of the Board of Management
Deputy Chairman and Chief Financial Officer
Markus Heyn
Deputy Chairman and Chairman of Mobility
Frank Meyer
Member of the Board of Management
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