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.
299141 Lead Big Data Engineer
Responsibilities include, but not limited to :
Strong desire to grow a career as a Data Engineer t 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
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