Machine Learning Architect

AWS, Python, Azure, MATLAB, R, SVM, Nave Bayes, scikit-learn, Weka, Convolutional Neural Networks (CNN), k-NN
Full Time, Long Term
Travel not required

Job Description


Please reply with your updated resume and expected compensation. Feel free to contact me on 972-499-6321 for more information

Machine Learning Architect

Mason, OH

Number of position 2

Job Description:

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.)

Proven experience in ETL, data processing, transformation, cleaning, and data warehousing techniques

Experience with applied statistics skills, such as distributions, statistical testing, and regression

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

Desired Skills/Experience:

Experience Building Models, and training a deep Neural Net

Experience with Convolutional Neural Networks (CNN)

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.)


Apply data mining and machine learning techniques, perform statistical analysis, and build high-quality prediction systems that solve our customers' business problems

Explore, interpret, and analyze datasets for patterns of interest

Work closely with various teams to understand our customers' needs, eventually crafting and pitching machine learning use cases to them

Model business problems to machine learning ones, map business data to dependent and independent features, perform proper feature engineering, iterate with different predictive models, and conduct hyper parameter optimization to yield highest prediction accuracy to deploy the model to production

Keep up to date with latest technology trends in machine and deep learning and quickly learn about new frameworks/techniques to be used in projects delivery.

Thanks & Regards


Direct :

Office X 362

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Dice Id : 10167987
Position Id : 2020-39923
Originally Posted : 5 months ago
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