Smart Manufacturing Manager

2 months ago


Singapur, Singapore Micron Full time

At Micron, we are dedicated to revolutionizing the utilization of information to enhance lives globally.

We are seeking a committed professional to lead a dynamic team focused on innovation and excellence in manufacturing processes. Our mission is to develop solutions that enable advancements in areas such as virtual reality and neural networks, all while upholding our values of integrity, sustainability, and community engagement.

As a Manager of Smart Manufacturing and AI/ML Engineering, you will work closely with a diverse group of experts, including Data Scientists, Machine Learning Engineers, Data Engineers, and Solution Architects, to design and implement scalable AI, ML, and analytics solutions that provide valuable insights into Micron's manufacturing operations.

Key Responsibilities:

  • Lead a team of 4-8 Data and Machine Learning Engineers dedicated to high-volume manufacturing projects.
  • Offer both technical and non-technical guidance to team members, ensuring effective development and maintenance of data and solution pipelines that support machine learning models and analytics engines.
  • Collaborate within a technical team to design, develop, deploy, and apply various analytics methods, including applied, predictive, and prescriptive analytics, utilizing machine learning and artificial intelligence.
  • Design and enhance data structures within data management systems (such as Hadoop, Snowflake, and Cloud platforms) to facilitate AI, ML, and analytics solutions.
  • Develop custom software components and analytics applications, including APIs, while maintaining CI/CD pipelines for solutions in both cloud and on-premise environments.
  • Ensure the standardization of best practices and implementation frameworks across diverse solutions and strategic initiatives.
  • Collaborate with the Operations team to address operational challenges, manage escalations, and resolve business partner issues promptly, demonstrating a strong commitment to business priorities.
  • Work with business partners and other teams to guarantee the availability of data solutions, ensuring resilience and operational health.


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