Sense the power of light
The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com
Your new responsibilities
Generative AI Solutions:
Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques. Machine Learning Models:
Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
Work with large-scale datasets to preprocess, clean, and transform data for model training. Data Pipelines \& ML Model Deployment:
Design and build robust data pipelines for AI applications.
• Proven experience in leading cross-functional projects in international environments, applying Agile, SAFe, Scrum, Waterfall, or hybrid delivery methodologies. •Strong project management capabilities, including planning, execution, resource allocation, budget management, milestone tracking, and delivery of project objectives.
Excellent stakeholder management, communication, risk management, and problem-solving skills, with the ability to drive decisions and successfully manage project dependencies. Communication \& Collaboration:
Analytics Storytelling of results to business stakeholder.
Collaborate with business stakeholders, architects, data engineers, and software developers to transform business challenges into scalable AI solutions. Stay updated:
Stay updated with the latest trends and advancements in data science and AI.
What we look for
Please contact Ronald Heon Lon Yip for further information via [email protected] or +60 (4) 3053363.