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Artificial Engineering/Machine Learning Engineer
Information Technology company
Information Technology company
Mason, OH
W-2 onlyContract1772 views
Mason, OH
Contract
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Our client is looking for a highly energetic, technical, and collaborative AI/Machine Learning lead who enjoys solving problems. This individual should be hands-on and should have created multiple models from scratch.


Required Skills/Experience:

  • Strong Machine Learning experience, some of which is within established technical organizations with production systems.
  • Deep understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience in at least one of these toolkits: Python, R, Weka, SciKit-learn, MATLAB
  • Familiarity with machine learning frameworks/libraries/packages/APIs (e.g., Theano, Spark MLlib, H2O, TensorFlow, PyTorch, etc.)
  • Experience Building Models, and training a deep Neural Net
  • Experience with Convolutional Neural Networks (CNN)
  • Experience with applied statistics skills, such as distributions, statistical testing, and regression
  • Experience in analyzing complex problems and translating it into an analytical approach
  • Good in translating modelling and analytical output into understandable and actionable business knowledge
  • Experience with widely used probability methods (conditional probability, Bayes rule, likelihood, independence, etc.)
  • Experience with time series analysis
  • Experience with data visualization techniques and tools (e.g., D3JS, ggPlot2)
  • Good software engineering background (OOP, data structures, algorithms, computability, and complexity)
  • Excellent conversation and communication skills – able to present on research and tools
  • Masters in a relevant quantitative field, such as statistics, operations research, or computer science, depending on position level (master's preferred)
  • Passionate, Innovative, and Motivated


Desired Skills/Experience:

  • Proven understanding of multivariable calculus and linear algebra
  • Experience dealing with massive data sets, using big data tools (Hadoop HDFS, MapReduce, Accumulo, Presto, MongoDB, Cassandra, HBase, R, Mahout, Pig, and Hive, DC/OS)
  • Hands-on experience and expertise with cloud computing services (AWS, Azure, etc.)
  • Proven experience in ETL, data processing, transformation, cleaning, and data warehousing techniques
  • Health care experience
Skills
Skill Proficiency Years Experience Percent Used
Big Data
3 - 6100%
ETL
Any100%
Machine Learning
Any100%
AWS
Any75%
Cassandra
Any75%
Hbase
Any75%
MapReduce
Any75%
MongoDB
Any75%
MS Azure
Any75%
Pig
Any75%
Spark
Any75%
Hive
Any50%
API Development
Any25%
Data Cleansing
Any25%
Data Visualization
Any25%
Data Warehousing
Any25%
Hadoop
Any25%
HDFS
Any25%
Mahout
Any25%
Matlab
Any25%
Python
Any25%