Senior Machine Learning Engineer

Found in: Appcast Linkedin GBL C2 - 1 week ago


Dallas, United States SSi People Full time

Note:

  • 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


Job Description:

Summary:

  • The main function of a machine learning engineer is to design, develop, implement, test, and maintain multi-platform machine learning software systems.


Candidate Technical and skills profile:

Describe the role and the key responsibilities in order of which they will be doing daily:

  • 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


Job Responsibilities:

  • 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


Qualifications:

  • Bachelor’s degree in Computer Science or related field.
  • 8-12 years related experience.

Skills:

  • 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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