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Machine Learning Software Engineer

Company: The Judge Group
Location: Wilmington
Posted on: February 14, 2019

Job Description:

Our client is currently seeking a Machine Learning Software EngineerThis is a W2 only position. C2C candidates will not be considered.? Develop, deploy and support predictive models using Machine Learning techniques supporting the Credit and Debit Card Fraud, Claims and Disputes business domain.? Hands-on data analytics using machine learning, statistical modelling and data mining to uncover insights from large consumer banking data sets.? Obtain business insights from large data sets that can reduce Fraud, post-fraud loss avoidance and other operational efficiencies.? Analyze and conduct simulations with large datasets combining multiple platforms and tools such as Scikit, Pandas, SparkML, TensorFlow, and R.? Perform data engineering activities to source and clean data from different sources using wrangling tools and traditional ETL techniques.? Operationalize machine learning models with appropriate model performance monitoring, validations, automated updates, and well managed test harness and feature libraries.? Implement Machine Learning inference engines end points with real-time microservice architecture, API gateways, scalable hybrid cloud architectures and aligned with SRE practices.? Automate data and model exploration activities and integrate into automated CI-CD deployment model.? Validate, document, and be able to interpret and explain models to support the business case.Internal/External Qualifications? Strong hands-on experience with developing and deploying machine learning based models, statistical models, data mining, and business rules.? Background on basic machine learning techniques including supervised, unsupervised, reinforcement and deep learning.? Experience with machine learning tools such as Scikit Learn, Pandas, TensorFlow, SparkML, SAS, R, H20, Keras, Caf?, Theano, etc.? At least 5 years hands-on experience with various programing models such as Spring, Java, Python, or C/C++.? At least 5 years hand-on experience SQL.?? Background in implementing and supporting the models in production at scale ? microservices development of cloud-native applications using Spring, Kafka, Cassandra.? Familiarity with AWS ML/Sagemaker, Azure ML, Google AI would be preferred.? Familiarity with feature engineering and management, data and model governance and oversight.

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