Description
As an AI Data Scientist you design and operationalize machine learning and Generative AI solutions supporting engineering product development and decision-making.
Tasks
- Design, develop and validate machine learning, GenAI and analytics solutions across the development lifecycle
- Support AI-assisted and agentic capabilities across requirements, coding, testing and vulnerability management
- Build prototypes and evaluation pipelines for LLM-based applications, RAG solutions and prediction models
- Acquire, clean and structure data from engineering toolchains, repositories and documentation
- Define evaluation approaches, performance metrics and validation methods for AI models
- Create reusable datasets, embeddings, feature stores, notebooks and pipelines
- Explore emerging AI and data science techniques and assess applicability for engineering use cases
Profile
- Bachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related field
- Minimum 5 years hands-on experience in data science, machine learning or AI engineering
- Good understanding of data engineering foundations including pipelines, APIs, databases and versioning
- Strong practical experience with programming languages and data science/ML ecosystems
- Understanding of software/firmware development lifecycles, DevSecOps and cybersecurity considerations
- Hands-on exposure to Generative AI, LLM applications, prompt engineering and retrieval-augmented generation
- Fluent in English
Offer
- Hybrid work model with 2-3 days per week of mobile working
- Mobility allowance
- Further training opportunities
- 3–6 months interim, then a permanent position
Company
Smart building technology