Description

You will build and deploy universal forecasting models in a production environment.

This role is on-site.

Responsibilities

• Build forecasting models using ARIMA, FB Prophet, and Seasonal Naive methods.
• Develop and maintain code within a Python-heavy environment.
• Process large-scale data using Gluon and Hadoop.
• Integrate models into an architecture consisting of OpenShift, Linux, and various database systems.

Required Skills

• 5+ years of experience in machine learning engineering.
• Proficiency in Python.
• Experience with ARIMA and FB Prophet forecasting models.
• Experience with Seasonal Naive forecasting.
• Hands-on experience with Hadoop and Gluon.
• Working knowledge of Linux and OpenShift.
• Experience with Oracle and SQL Server.
• Experience with MongoDB.
• Experience working with APIs.

Preferred Skills

• Experience with large-scale data architectures.

Key Skills

Education

Any Gradute