Ingeniero de Datos

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.

-Computer Science engineer or AI engineering

Machine Learning and Deep Learning

- Frameworks: TensorFlow, PyTorch, Scikit-learn

Cloud and DevOps

- AWS, Azure, GCP
- Docker, Kubernetes

MLOps

- CI/CD for models
- Model versioning (MLflow, DVC)

Complementary Skills

- NLP, Computer Vision (depending on the role)
- Optimization and algorithms
- Model quality control and testing
- Knowledge of AI ethics and governance

Recommended Certifications

- AWS Certified Machine Learning – Specialty
- Google Professional Machine Learning Engineer
- Microsoft Azure AI Engineer Associate
- TensorFlow Developer Certificate

Responsibilities

Design, 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.; Develop AI solutions and provide support to AI strategy; 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.

Requirements

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