Data Science Engineer (f/m/div.)
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Requirements
- 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.
- Work #LikeABosch includes:
- βοΈ Flexible work conditions
- π Hybrid work system
- π Exchange with colleagues around the world
- π‘οΈ Health insurance
- π§βοΈ Medical office (psychology and general clinic) & Social Services Office on site
- π Training opportunities (p.e., technical training, foreign languages training) & certifications
- π Opportunities for career progression and continuous professional development
- π² Access to great discounts in partnerships and Bosch products
- ποΈ Sports and health related activities
- π Great access to public transports
- π Free transport from Porto
- π° Flexible benefits platform
- π ΏοΈ Free parking lot
- π½οΈ Canteen
- Success stories donΒ΄t just happen. They are made...
- Make it happen! We are looking forward to your application!
Benefits
Additional Information
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. What distinguishes you: Education You have a degree in Computer Science, Data Science, Engineering, or a comparable field.
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