About Siemens Advanta
At Siemens Advanta, you can become part of a forward-thinking, future-oriented team dedicated to guiding clients through their unique digital and sustainability transformation journeys. With our end-to-end solutions, we provide strategic advice and are a trusted implementation partner for digital and sustainability transformations at the enterprise level. By leveraging the power of Siemens businesses and its partners, we as Siemens Advanta help customers unlock the full value of Siemens technologies across their entire value chain.
Responsibilities
- Collaborate on cross-functional projects with consultants, domain experts, and clients to set the foundational layer for AI transformation
- Build scalable and reliable AI applications in critical industrial areas such as Predictive Maintenance, Visual Quality Inspection, Process Optimization, Digital Twins, Industrial IoT analytics, and Generative AI
- Engage with clients to translate complex operational and business needs into project approaches and technical solutions
- Develop advanced AI models for the analysis of large-scale and high-dimensional industrial data
- Take ownership of software components, making them reliable and scalable within OT/IT integrated environments
- Help design the overall architecture for industrial AI solutions
- Communicate results to stakeholders of all seniority levels, ensuring clear understanding of AI's impact on industrial processes
- Stay current with the latest research and technology trends in Industrial AI, edge computing, and smart manufacturing
Requirements
- Excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with a strong background in data science, machine learning or data engineering
- Relevant practical experience through at least two internships in a consultancy, a renowned industrial or tech company, or a start-up and a proven track record of excellence in consulting
- Profound knowledge of core data science & machine learning programming languages (Python), Data Warehousing & Engineering (Focus Snowflake) and Cloud Platform Expertise (Focus Azure)
- Hands-on experience designing, developing, and deploying AI applications in operational or industrial environments
- Strong expertise in Python and common ML / AI frameworks
- Experience across the full data science lifecycle, including ML Ops
- Curiosity, willingness to learn, strong communication skills, and fluency in English
Benefits
- Attractive remuneration package
- Access to Siemens share plans
- 30 days of paid vacation and a variety of flexible work schedules
- 2 to 3 days of mobile working per week as a global standard
- Flexible training opportunities for both your professional and personal development