Company Description

Bosch was founded in Stuttgart in 1886 by Robert Bosch (1861-1942) and for more than 130 years has been distinguished by a unique corporate culture based on solid values ​​that drive us to improve every day. Our products, present in a wide variety of fields, that contribute to improve the quality of life of millions of people.

Job DescriptionDesign, integrate, and maintain efficient and scalable data pipeline architecture to support business needs.Develop and manage large, complex data sets that align with functional and non-functional business and management requirements.Identify opportunities for internal process improvements, including automating manual tasks, optimizing data delivery, and redesigning data infrastructure for enhanced scalability and performance.Architect and review data structures to ensure optimal extraction, transformation, and loading (ETL) of data from diverse sources, utilizing SQL and advanced big data technologies.Build and implement analytics tools leveraging the data pipeline to provide actionable insights on operational efficiency and key business performance metrics.Collaborate with cross-functional teams, including Management, Product, Data, and Design, to address data-related technical challenges and support their data needs.Ensure data security and privacy by maintaining access controls, safeguarding data integrity, and ensuring data is accessible only to authorized personnel.Develop and maintain digital solutions with DS and/or AI to support analytics and data science teams in optimizing and innovating product offerings.Design, maintain, and ensure the effective operation of Data Warehouse and Data Lake structures (including JuP1 Data Lake).Collaborate with the Data Management team to uphold data governance standards.Ensure compliance with data quality principles and best practices.Actively promote and support the Bosch Production System, contribute to Continuous Improvement Projects (CIP), policy deployment, and foster teamwork.Oversee labor discipline within the team, if applicable.Adhere to and enforce Environmental Health and Safety (EHS) policies, ensuring compliance with legal and corporate safety regulations.

Qualifications

-Computer Science engineer or AI engineering

Programming:

Python (essential)R, Java, C++ (depending on the environment)

Machine Learning and Deep Learning:

Frameworks: TensorFlow, PyTorch, Scikit-learn

Cloud and DevOps:

AWS, Azure, GCPDocker, Kubernetes

MLOps:

CI/CD for modelsModel versioning (MLflow, DVC)

Complementary Skills

NLP, Computer Vision (depending on the role)Optimization and algorithmsModel quality control and testingKnowledge of AI ethics and governance

 Recommended Certifications

AWS Certified Machine Learning – SpecialtyGoogle Professional Machine Learning EngineerMicrosoft Azure AI Engineer AssociateTensorFlow Developer Certificate

Additional Information

Bosch is constantly expanding its international presence, since for us cultural diversity represents one of our greatest strengths. We are continuously promoting the growth of our more than 17,000 associates, who develop their full potential in one of the highest quality companies in technology. We value the balance between personal and work life as one of the main tools to improve the creativity and productivity of our associates.

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.