Machine Learning Engineer

Summary

Experienced engineer to work on universal forecasting models. Focus on Client forecasting, Python and Hadoop. Experience with Python, ARIMA, FB Prophet, Seasonal Naive, Gluon.

Requirements:
Experience with ARIMA 2 - 4 Years
Experience with FB Prophet 2 - 4 Years
Experience with Python 2 - 4 Years
Experienced Client engineer to work on universal forecasting models 2 - 4 Years
Gluon 1 - 2 Years
HADOOP 2 - 4 Years
Seasonal Naive 1 - 2 Years
The application architecture is represented by OpenShift, linux, Oracle, SQL Server, Hadoop, MongoDB, APIs and a great deal of Python code. 2 - 4 Years

Role and the key responsibilities
Machine Learning Engineer that work with Data Scientists in a SDLC environment into production.
1. Attend meetings as needed
2. Work in an adapted to Agile environment
3. Work with a variety of team members to implement
4. Effectively delegate