Senior Machine Learning Engineer

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.