- Looking for a ML Engineer with extensive experience with Forecasting
- My client will not work on C2C/C2H
- My client will not sponsor any type of Visa
- Will not consider any Data Scientist
- The main function of a machine learning engineer is to design, develop, implement, test, and maintain multi-platform machine learning software systems.
- Machine Learning Engineer that work with Data Scientists in a SDLC environment into production.
- Attend meetings as needed
- Work in an adapted to Agile environment
- Work with a variety of team members to implement
- Effectively delegate
- Research, develop, and implement machine learning algorithms for use in software and hardware applications.
- Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
- Analyze and review enhancement requests and specifications.
- Implement changes to algorithms to improve performance.
- Troubleshoot problems to improve user experience.
- Provide quality assurance reviews
- Perform post-implementation validation of machine learning models and resolve any bugs found during testing
- Bachelor's degree in Computer Science or related field.
- 8-12 years related experience.
- Experienced ML engineer to work on universal forecasting models
- Experience with ARIMA
- Experience with FB Prophet
- Experience with Python Yes
- Gluon
- HADOOP
- The application architecture is represented by OpenShift, Linux, Oracle, SQL Server, Hadoop, MongoDB, APIs and a great deal of Python code.
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Senior Machine Learning Engineer - Dallas, United States - SSi People
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