Machine Learning Engineer
📋 Role Overview & Responsibilities
Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.
Machine Learning Engineer
The hiring manager is NOT looking for a Data Scientist ! ML Engineer will join Data Science Innovation (DSI) team and work on developing and implementing universal forecasting models, focusing on ML forecasting techniques using Python and Hadoop. DSI application is a unique, ML-driven platform that incorporates over 100 financial metrics to create a Universal Forecasting Model. The application features a Marketplace concept UI with Subscriber/Contributor functionality for enhanced personalization and extensibility across the enterprise. Collaborate with Data Scientists in an Agile SDLC environment to bring ML models into production The ideal candidate ( MLOps ) will have a strong background in developing and implementing ML models in a production environment. They should be comfortable working with DevOps tools and be able to effectively test ML models to determine the success of their output.
Qualifications - every bullet point below is a MUST HAVE
Experience as an ML engineer working on universal forecasting models : ARIMA (AutoRegressive Integrated Moving Average), Seasonal Naive, FB Prophet ( Facebook Prophet ) open-source library for forecasting time series data Gluon open-source deep learning library ( might consider some alternatives like Apache MXNet, or experience with PyTorch - TensorFlow - CNTK - Theano - Keras - Caffe2 ) Hadoop ( HDFS, MapReduce ) Python Other skills : Linux, OpenShift (Kubernetes container platform) and databases like Oracle, MS SQL Server, MongoDB
Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.
PNC Beeline VMS# 134285-1
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