Marchine Learning Engineer
Job Opportunity at The McCandlish Group

Posted on Aug 30    614-766-1800

Location: Irvine, CA
Job Type: Full Time
Job ID: W4134624

Seeking a Machine Learning Engineer to join the platform team of our global client who specializes in R&D and product development around Device & Display, Energy, Health & Environment, Video Processing & Digital Media, Mobile Communications, and Business Solutions.  . You will be closely working with other development teams, planning team, including subsidiaries in US, EU and Japan.
We are looking for an ideal and curious person to tell interesting story about our data to make intelligent decisions.
You will
  • train, implement and evaluate machine learning models
  • searching for data from their owned devices installed across the globe to explore
  • using your mathematical, statistical and programmatic knowledge to search, analyze, model to forecast the sales of our products
  • leverage your experience to build data-driven products
  • provide technical leadership to mentor other Engineers, planning, road map and architecture
Must - Skills / Knowledge Requirements
  • Master’s degree in CS, Statistics, Machine Learning, Applied Mathematics, Data Mining or a related field
  • 3+ years of industry experience
  • 3+ years of experience in data extraction, data-driven statistical modeling, analysis and supervised learning
  • 3+ years of experience in programming languages Python, Java, C++, etc.
  • 3+ years of experience in modeling languages such as R, Stata, MATLAB, etc.
  • Experience in deep learning frameworks such as Caffe, Tensorflow, and Theano
  • Experience in Machine Learning APIs, frameworks and AI tools
  • Experience in using Cloud services such as Amazon Web Services, Microsoft, IBM and Google cloud
  • Experience in using Big Data, business intelligence tools such as Tableau, data lakes, Hadoop, Spark
Desired - Skills and Knowledge
  • Experience with large data sets
  • Knowledge of No-SQL such as MongoDB, relational databases, unstructured data
  • Experience in distributed streaming platform such as Kafka, distributed programming is highly recommended
  • Ability to explain complex statistical concepts to non-experts and business
  • Ability to build, evaluate predictive models
  • Excellent verbal and written communication skills
  • A natural curiosity and desire to learn
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