Job Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Your contribution to something big:

As a Data Science Engineer, you will shape the future of engineering at Bosch by designing intelligent GenAI solutions that enhance engineering productivity and innovation. You will transform complex engineering challenges into scalable AI-driven applications and enable data-driven decision-making across teams.

• You design, develop, and deploy GenAI agents to support engineering use cases such as requirements analysis, documentation, test interpretation, and failure analysis.
  
• You build and maintain scalable data pipelines using modern ETL tools (e.g., Python, Databricks, KNIME).
  
• You develop and optimize Retrieval-Augmented Generation (RAG) pipelines for structured and semi-structured engineering data.
  
• You integrate AI solutions with engineering systems (e.g., PLM platforms, databases, and document repositories).
  
• You ensure reliability, traceability, and compliance of AI systems in regulated environments.
  
• You create interactive dashboards and data visualizations (e.g., Power BI, Tableau) to communicate insights effectively.
  
• You collaborate closely with engineering experts, product teams, and stakeholders to validate solutions and drive adoption.
  
• You document architectures, APIs, and best practices to ensure scalability and maintainability.
  
• You contribute to continuous improvement by monitoring and enhancing model performance and evaluation metrics.
  
• You foster cross-functional collaboration and actively share knowledge through coaching and training.

Qualifications

What distinguishes you:

Education

• You have a degree in Computer Science, Data Science, Engineering, or a comparable field.

Experience

• You have hands-on experience in Data Science, Machine Learning, or AI Engineering.
• You have worked with GenAI, LLMs, or AI-driven applications in a professional environment.

Know-how

• Strong programming skills in Python and experience with APIs and microservices.
• Solid understanding of data engineering concepts, including SQL and relational databases.
• Experience with data visualization tools such as Power BI or Tableau.
• Familiarity with LLM concepts, embeddings, vector databases, and RAG architectures.
• Knowledge of AI frameworks (e.g., LangChain, LlamaIndex, or similar).

Languages

• Very good English skills (written and spoken).

Working Style and Methods

• You work in a structured, reliable, and solution-oriented way.
• You thrive in cross-functional and agile environments.
• You are comfortable working in iterative and experimental settings.

Personality

• You are curious, proactive, and passionate about emerging technologies.
• You bring strong communication skills and enjoy teamwork.
• You value diverse perspectives and contribute to an inclusive work environment.

Additional Information

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🛡️ Health insurance

🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🚌 Free transport from Porto

💰 Flexible benefits platform

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!