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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
Other
Business Services
$108k-134k (estimate)
04/21/2024
05/02/2024
healthsystemone.com
MIAMI, FL
25 - 50
Private
JOSEPH BRUCE
$10M - $50M
Business Services
The job skills required for Machine Learning Engineer include Python, Agile, Open Source, DevOps, Linux, Kubernetes, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.