AI Innovation Strategist
2 semanas atrás
- Orchestrate AI frameworks and strategy for Generative AI and Decision AI.
- Advise on industry best approaches and outside-in perspectives to achieve applied-AI value at scale.
- Guide applied-AI projects as a technical lead and collaborate on concept definition.
- Establish an external network of industry experts and evaluate partnerships.
- Design applied-AI building blocks for reuse and support introduction of applied-AI pilots.
- Support internal mentorship and coaching of applied-AI experts.
Key Requirements
- Bachelor's degree in Computer Science or Data Science.
- At least 8 years of experience in Data and AI, preferably with knowledge of semiconductor design and production, digitalization, and artificial intelligence.
- Outstanding knowledge and experience in Data Science and MLOps, particularly in ML/DL, Generative AI.
- Experience in at least one of the following fields: GenAI use for people efficiency, AI ML for process parameter, AI ML for quality inspection, or EdgeAI / TinyML.
- Demonstrated experience in software and deployment, CI-CD, and ML operations, as well as software/AI quality.
- Strong expertise in implementing ML/DL in productive environments at scale.
- Capability to comprehend complex interrelations and motivate others while building networks.
Benefits
- Coaching, mentoring, and networking possibilities.
- Wide range of training offers and planning of career development.
- International assignments.
- Different career paths.
- Flexible working conditions.
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