ASM
Technology
Senior/Lead,OperationsIntelligence,Automation(AI/MLSolutionsEngineering)
Neural analysis suggests this role is
optimal for Senior / Lead candidates.
“Senior / Lead, Operations Intelligence, Automation (AI/ML Solutions Engineering) at ASM. Skills: Data science, Data engineering, AI/ML, Automation. Design AI/ML solutions. Develop automation solutions”
Industry & Context.
Root cause analysis; Troubleshooting; Analytical thinking
What They're Looking For.
Must Have
8+ years of experience, Bachelor's degree
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Design AI/ML solutions
Develop automation solutions
Collaborate with stakeholders
Drive operational intelligence
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Business stakeholders
Full Job Description
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 Senior /Lead, Operations Intelligence Automation (AI/ML Solutions Engineering) leads the strategy, architecture, governance, and deployment of AI capabilities for operations. This role owns the AI portfolio spanning machine learning, generative AI, and agentic AI, and ensures measurable value realization at enterprise scale. What you will be working on Define and lead the AI roadmap aligned to operational priorities and enterprise strategy. Identify and prioritize high-value AI opportunities across Plan, Source, Make, Deliver, Quality, and Services. Oversee architecture, tooling, governance, and scaling standards for AI delivery. Lead senior stakeholders in prioritization, investment, and adoption planning. Ensure responsible AI, data quality, model governance, and lifecycle management practices are in place. Sponsor and review major AI solution designs, pilots, and production deployments. Build team capability and operating model standards for AI delivery. Track value realization, adoption, and strategic contribution of the AI portfolio. What we are looking for Bachelor’s or Master’s degree in AI, Computer Science, Engineering, Data Science, or related discipline. Minimum 8 years of experience in AI, digital transformation, analytics, or enterprise technology leadership.
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