Lead Data Scientist for AI Innovation and Engineering
Há 7 dias
At Infineon Technologies, we are committed to driving innovation and excellence in the field of artificial intelligence.
Job SummaryWe are seeking a highly skilled and experienced Lead Data Scientist to join our team as a key member in driving AI innovation and engineering. The successful candidate will be responsible for leading strategic architecture decisions that shape the future of AI at Infineon, influencing product innovations and process optimizations.
About the RoleThis role involves staying at the cutting-edge of AI technologies, identifying opportunities and maturity, and translating cutting-edge technology innovation into viable, value-generating use cases. You will collaborate with stakeholders across different organizations and functions to ensure implementation for scaling value and alignment of AI solutions with business goals and user needs.
You will be responsible for ensuring the availability and evolution of state-of-art AI stack (including GenAI), MLOps, and Governance platform, drive and coordinate requirements and AI architecture definition, user guidance aligned with our business needs. Additionally, you will mentor, share knowledge, and foster AI talents; bring in industry experience and best practices. Guide and inspire our data scientist community fostering an environment of collaboration, creativity, and technical excellence.
Your expertise will also involve building and maintaining a network of experts within Infineon and our larger ecosystem (e.g., cooperation partners, universities, institutes, innovators around the globe). You will tackle the toughest challenges with a combination of analytical prowess, innovative thinking, and a deep understanding of the AI landscape and interdisciplinary collaboration.
Requirements- A degree in Computer Science or Data Science or similar
- 10+ years of relevant professional experience in the field of Data and AI within the manufacturing / R&D environment and Generative AI applications, preferably with knowledge of semiconductor design and production, digitalization, and artificial intelligence
- Outstanding knowledge and experience in Data Science and MLOps in the fields of ML/DL, Generative AI
- Extensive expertise in at least one of the following areas: leveraging GenAI for enhancing efficiency and fundamental innovation, applying AI and machine learning in high-tech semiconductor production, utilizing AI and ML for improving quality, or specializing in EdgeAI and TinyML for IoT and embedded applications
- Proven and Demonstrated experience in the area of software and deployment, CI-CD, and ML operations, as well as software/AI quality
- Advanced expertise in implementing ML/DL in productive environments at scale (manufacturing and R&D)
- Capability to quickly comprehend complex interrelations, structure them, and motivate others while building networks
- Excellent communication skills in English and German to communicate effectively across roles and functions
- Coaching, mentoring networking possibilities
- Wide range of training offers & planning of career development
- International Assignments
- Different Career Paths: Project Management, Technical Ladder, Management & Individual Contributor
- Flexible working conditions
- Home Office Options
- Part-time work possible
- Sabbatical
- Criçe and kindergarden with 220 spots and opening times until 5:30pm
- Holiday Child Care
- On-site social counselling and works doctor
- Health promotion programs
- On-site gym, jogging paths, beachvolleyball, tennis and soccer court
- On-site canteen
- Private insurance offers
- Wage payment in case of sick leave
- Corporate pension benefits
- Flexible transition into retirement
- Performance bonus
- Cheaper ticket for public transport and very own S-Bahn station
- Accessibility access for wheelchairs
- Möglichkeit mobil aus dem Ausland zu arbeiten (EU)
We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect, and tolerance, and are committed to giving all applicants and employees equal opportunities. We base our recruiting decisions on the applicant's experience and skills.
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