SMAI SPE Snr Operation Intelligence Engr

4 weeks ago


Singapur, Singapore Micron Full time

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR52882 SMAI SPE Snr Operation Intelligence Engr

As a SMAI Smart Planning and Execution (SPE) Data Science (OI) Engineer/Senior Engineer at Micron Technology, Inc. in Assembly and Test (AT) Operations, you will develop Data and AI/ML solutions to empower our organization to make data-driven decisions. You will work with our global manufacturing sites to discover new opportunities to optimize our network and improve efficiencies by defining data architecture, designing, and building data analytical & automation systems that provide actionable and impactful insights. Your work will directly support AT strategic initiatives and will help shape and improve business processes.

Responsibilities include, but not limited to:

Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and/or R pySpark and/or SparkR and/or SparklyR Hadoop (Hive, Spark, HBase) Teradata and/or another SQL databases Tensorflow, and/or other statistical software including scripting capability for automating analyses SSIS, ETL Javascript, AngularJS , Tableau Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

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