AI Data Scientist 80-100% — Siemens
NouveauCHF 74 500 - 127 000
Siemens · Zug (ZG)
- Lieu
- Zug
- Contrat
- full-time
- Publié
- Hier
SalaireCHF 74 500 - 127 000
Vue d’ensemble du poste
Together with our customers, we combine the real and digital worlds With technology, software and services for smart buildings, we transform the everyday for everyone.
By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people.
It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works.
- Together with our customers, we combine the real and digital worlds With technology, software and services for smart buildings, we transform the everyday for everyone.
- By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people.
- Your new responsibilities
- Design, develop, and validate machine learning, Generative AI, and advanced analytics solutions that support product development, engineering productivity, quality improvement, cybersecurity, and decision-making across our SDLC
Responsabilités principales
- Your new responsibilities
- Design, develop, and validate machine learning, Generative AI, and advanced analytics solutions that support product development, engineering productivity, quality improvement, cybersecurity, and decision-making across our SDLC
- Support the development of AI-assisted and agentic capabilities across requirements engineering, architecture analysis, coding, testing, security, vulnerability management, release readiness, and lifecycle management by applying data science methods to real engineering workflows
Processus de candidature
- today for the position of AI Data Scientist – your team is looking forward to meeting you!
- Build prototypes, proof-of-concepts, and evaluation pipelines for LLM-based applications, RAG solutions, agentic workflows, classification models, prediction models, and AI-assisted engineering use cases, ensuring that feasibility, quality, and measurable value are assessed early and continuously
- Identify, acquire, clean, structure, and enrich data from engineering toolchains, repositories, documentation, requirements, test systems, vulnerability sources, and enterprise platforms to make it usable for AI and analytics solutions
- Define and implement evaluation approaches, performance metrics, validation methods, monitoring concepts, and quality criteria for AI models and GenAI applications, with attention to explainability, robustness, bias, privacy, security, and responsible AI principles
- Create reusable datasets, embeddings, feature stores, notebooks, pipelines, model evaluation assets, and documentation that enable scalable adoption and repeatable delivery of AI capabilities across teams and use cases
- Explore emerging AI, machine learning, data science, and GenAI techniques, frameworks, and tools, and assess their applicability for SI B PRO use cases in collaboration with the AI Core team and engineering stakeholders Your talents and experience
- Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics,
- Software Engineering, Physics, or a related technical field
Détails supplémentaires
- Apply today for the position of AI Data Scientist – your team is looking forward to meeting you!
- Good communication and collaboration skills, with the ability to explain data science concepts to architects, product owners, engineers, cybersecurity experts, and business stakeholders Fluent in English Employee benefits
- 2–3 days per week of mobile working is standard Mobility allowance Varied further training opportunities Access to employee share programs
Notes et contenu original
- Good communication and collaboration skills, with the ability to explain data science concepts to architects, product owners, engineers, cybersecurity experts, and business stakeholders
- Fluent in English Employee benefits
- 2–3 days per week of mobile working is standard
- Mobility allowance
- Varied further training opportunities
- Access to employee share programs
