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Sr. Director - AI, Machine Learning & Deep Learning
Sr. Director - AI, Machine Learning & Deep LearningAmkor Technology, Inc. • Tempe, AZ, United States
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Sr. Director - AI, Machine Learning & Deep Learning

Sr. Director - AI, Machine Learning & Deep Learning

Amkor Technology, Inc. • Tempe, AZ, United States
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  • [job_card.full_time]
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Amkor Technology, Inc. (Nasdaq : AMKR) is the world's largest U.S. headquartered OSAT and is a global leader in outsourced semiconductor packaging and test services. With a strong track record of innovation, a broad and diverse geographic footprint and solid partnerships with lead customers, Amkor delivers high-quality solutions that enable the world's leading semiconductor and electronics companies to bring advanced technologies to market. The company's comprehensive portfolio includes advanced packaging, wafer-level processing, and system-in-package solutions targeting applications for smartphones, data centers, artificial intelligence, automobiles and wearables. For more information visit amkor.com.

Position Summary :

We are seeking a Head of AI to lead our Artificial Intelligence strategy and execution, focusing on machine learning (ML) and deep learning (DL) solutions. This role will drive innovation in semiconductor assembly and test processes by leveraging AI to optimize yield, improve quality, and enhance operational efficiency. This position will be based at Amkor's corporate headquarters in Tempe, AZ.

The ideal candidate will have a strong background in AI / ML technologies, experience in deploying solutions at scale in industrial environments, and a deep understanding of unified data platforms. Familiarity with Microsoft Fabric or similar modern data integration frameworks is a significant plus.

Essential Duties and Responsibilities :

  • Strategic Leadership : Define and execute the AI roadmap aligned with business objectives for OSAT manufacturing.
  • Solution Development : Lead the design and deployment of ML / DL models for predictive maintenance, defect detection, process optimization, and yield improvement.
  • Data Platform Integration : Collaborate with data engineering teams to build and maintain unified data platforms, ensuring seamless integration of AI solutions.
  • Technology Evaluation : Stay ahead of emerging AI technologies and assess their applicability to manufacturing environments.
  • Cross-Functional Collaboration : Work closely with operations, engineering, and IT teams to ensure AI solutions deliver measurable business impact.
  • Team Building : Recruit, mentor, and manage a high-performing AI team.

Required Qualifications :

Education : Master's or Ph.D. in Computer Science, Data Science, Electrical Engineering, or related field.

Experience :

  • 12+ years in AI / ML, with at least 5 years in leadership roles.
  • Proven track record of implementing AI solutions in manufacturing or industrial settings.
  • Technical Skills :

  • Expertise in ML / DL frameworks (TensorFlow, PyTorch, etc.).
  • Strong knowledge of data engineering and unified data platforms.
  • Working knowledge of Microsoft Fabric or similar technologies is a plus.
  • Soft Skills :

  • Excellent communication, strategic thinking, and stakeholder management abilities.
  • Preferred Qualifications :

  • Experience in semiconductor manufacturing.
  • Familiarity with edge AI and real-time analytics for factory environments.
  • Understanding of cloud-based AI deployment (Azure preferred).
  • Location :

    Tempe, AZ. This position has a hybrid schedule. Candidates must reside near the local Amkor office or be willing to relocate to be considered.

    Amkor is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state or federal law or local ordinance.

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