Job's mission
As a Senior Specialist in AI/ML within ASM’s Operations Intelligence function, you will play a pivotal role in reimagining how data, artificial intelligence, and intelligent automation transform global operations. You will design, build, and deploy scalable AI and machine learning solutions that optimize semiconductor supply chain, manufacturing, and logistics performance. By translating complex operational challenges into impactful AI-driven solutions, you will help demonstrate the power of agentic AI, large language models, and advanced analytics—driving measurable business outcomes and shaping the future of smart manufacturing at scale.
What you will be working on
- Design, develop, and deploy advanced prediction models, including Agentic AI systems and Large Language Models (LLMs), to drive automation, intelligent decision-making, and innovation across Global Operations.
- Collaborate with leaders, program managers, and cross-functional teams to integrate AI into existing systems.
- Stay abreast of the latest advancements in machine learning techniques, Agentic AI, and LLMs, and evaluate their applicability to Global Operations’ business challenges.
- Analyze business problem statements, translate business problem statements into data and AI requirements, collaborate with tech team to identify data sources, extract and transform data, perform data modelling, simulate outputs, test to produce data and knowledge for AI Solutions.
- Automate and integrate data and AI solution development and deployment; identify and prioritize opportunities, and develop proof-of-concepts for AI/ML applications to automate manual business processes.
- Work closely with data engineers, data analysts/scientists, senior management, and other stakeholders to support digital transformation.
What we are looking for
- Bachelor’s or master’s degree (or equivalent experience) in computer science, engineering, or a related technical field.
- Minimum 5 years of hands‑on experience delivering data science or AI/ML projects end to end.
- Familiarity with SAP systems (S/4HANA, CRM, SRM), Kinaxis, and end‑to‑end processes across manufacturing, supply chain, purchasing, logistics, quality, or engineering.
- Strong experience applying statistical methods and machine learning algorithms to real business problems.
- Proven experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud, including exposure to MLOps practices.
- Strong analytical thinking, problem‑solving, and communication skills, with the ability to explain complex concepts to non‑technical audiences.
- Comfortable working in a fast‑paced, startup‑like environment where priorities evolve and innovation is encouraged.
What sets you apart
- Hands‑on experience with large language models, agentic AI frameworks, and autonomous decision‑making systems.
- Knowledge of computer vision techniques and their application in manufacturing or operations environments.
- Strong awareness of data privacy, security, and ethical AI principles, with experience applying them in production environments.