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Data Engineer in Oklahoma City, OK at MDI Group

Date Posted: 4/11/2019

Job Snapshot

Job Description


Data Engineer
Direct Hire
Oklahoma City, OK

This position will be located within (Dev / IT) and work closely with computer scientists, IT, and data scientists to deploy and optimize machine learning models in the company production system environment.

What You Will Be Doing:

  • Work closely with IT / Computer Scientists on technical aspects of deploying machine learning models in production
  • Work closely with Data Scientists to understand, implement, refine, design, and test deployment of machine learning models in production
  • Optimize the environment for production machine learning models to access and handle data more efficiently and ensure scalability
  • Designs new processes and builds large, complex data sets needed for machine learning processes
  • Serve as SME on machine learning technology and recommend acquisition of appropriate technology for production purposes
  • Advise and assist IT/infrastructure on install and configuration of machine learning systems
  • Explore, design, and implement a robust production-grade data processing pipeline that can ingest, aggregate, and transform large datasets
  • Independently conduct literature search to keep informed of best practices and new methods
  • Serve as on-call for production issues related to machine learning processes

Must Haves:

  • BS degree in Computer Science or related field with 5 years machine learning engineering experience or MS / PhD degree in Computer Science or related field with 3+ years of machine learning engineering experience
  • 3+ years hands-on experience deploying production-level machine learning algorithms and productionizing them at scale in a distributed computational environment
  • 1+ year experience with R. Working knowledge of R required
  • Experience working with large, messy real-world data
  • Experience with SQL, Ruby, Python, C#, Pig and other query and programming languages
  • Experience with machine learning database tools and platforms such as HBase, Mongo, Hive, Cassandra, MySQL, SQL Server, PostgreSQL, Hadoop, and Spark
  • Experience with machine learning optimization tools and related technologies such as H2O, Theano, mlpack, TensorFlow. Experience with H2O required
  • Experience with machine learning platforms for production models such as Apache, Pattern, Shogun
  • Strong expertise in computer science fundamentals: data structures, performance complexities, algorithms, and implications of computer architecture on software performance such as I/O and memory tuning
  • Working knowledge software engineering fundamentals: version control systems such as Git and Github, workflows, ability to write production-ready code
  • Strong knowledge of data architecture and system / pipeline and data processing engines such as Spark and Hadoop
  • Working knowledge of R and Rstudio
  • Working knowledge of SQL, Pig, Python, and other query languages
  • Knowledge of C++, PHP, Java and other languages
  • Knowledgeable with machine learning tools and frameworks like Python, Spark, H2O, Theano, mlpack, TensorFlow
  • Knowledge of machine learning platforms such as Amazon, IBM Watson, Azure, Google Predict, BigML
  • Strong trouble-shooting skills
  • Knowledge of technical infrastructure
  • Knowledge of installation and configuration of machine learning systems / technology
  • Strong technical aptitude
  • Basic knowledge of statistics, calculus and probability, experimental design, and machine learning techniques to enable conceptual understanding of Data Scientist’s models
  • Has strong critical thinking skills and the ability to relate them to the products of the company
  • Possesses a combination of creative abilities and business knowledge
  • Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
  • Displays exceptional organizational skills and is detailed oriented
     

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