Specialist, Operations Intelligence, AI/ML Engineer

Requirements

• Minimum Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• Minimum 1 year of relevant experience in AI, analytics, data science, or software development.
• Foundational knowledge of Python, SQL, and machine learning concepts.
• Strong analytical thinking and willingness to learn in a fast-paced environment.
• What sets you apart
• Exposure to cloud AI platforms, LLM applications, or data engineering concepts.
• Experience through internships, academic projects, or early-career work in AI/ML.
• Familiarity with manufacturing or supply chain environments
• Apply today to be part of what's next.
• To learn more about ASM, find us at asm.com and on LinkedIn , Facebook , Instagram, X and YouTube .

Additional Information

Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what's next, at the forefront of innovation and what's technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Job's mission The Specialist, Operations Intelligence or otherwise known as AI/ML Engineer supports the development, testing, and deployment of artificial intelligence solutions that improve operational decision-making, efficiency, quality, and productivity across manufacturing and supply chain processes. The role contributes to machine learning, generative AI, and agentic workflow use cases under the guidance of senior team members. What you will be working on Support the design, prototyping, and testing of AI and machine learning use cases for operations. Prepare and validate data from CRM, ERP, MES, supply chain, quality, and production systems. Assist in developing generative AI applications such as knowledge assistants, document copilots, and search-based support tools. Contribute to agentic automation workflows such as information retrieval, alert triage, and task orchestration. Support model evaluation, monitoring, and troubleshooting during pilot and deployment stages. Document requirements, assumptions, technical logic, and test results. Work collaboratively with data, business, and technology stakeholders to support use case delivery.

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