We are looking for a talented engineer with the combination of technical skills and a love for data, to create, facilitate and maintain ground breaking work. At the intersection of machine learning and data engineering, you will have the opportunity of working closely with multiple data bases and cloud services, visualizing, and analyzing data, as well as training and evaluating state-of-the-art deep learning models.
We expect an independent engineer that can tackle complicated settings, explain, and document his plan, and finally execute in a high-stakes production environment where accuracy and precision are crucial for maintaining our customers perfect experience.
Join our group and develop the next generation of Work Force Management solution for our customers contact centers. The solution provides the ability for the organization to forecast the work volume, schedule the shifts of the agents, manage their time off requests and all the lifecycle of their work schedule. It is recognized as the market leader for the last 10 years
** The work is hybrid 2 days in the office and 3 days working from home
Interface with multiple data storage services to continuously create and improve processes that ingest high dimensional data from cloud systems.
Make data easily available for research and automation.
Work closely, as part of the same team with data scientists on complex problems
Build process to train models and predict at scale.
Analyze rich data from multiple sources to check and recheck our assumptions, define customer needs and shape our plans and vision.
Help ensure that the quality of our algorithms output remains high over time and for all our customers.
Facilitate constant learning by everyone on the team (including models)
Qualifications and Experience
The ideal candidate will have:
3-5 years of experience working in python, using API's, connecting to data bases, utilizing trained ML algorithms, training ML algorithms, etc.
At least 1 year of experience working in cloud environments AWS an advantage
Fluent in python
Good understanding of ML processes.
An interest in ML and data science
An independent and analytical thinker, capable of running unstructured evaluation processes, finding noteworthy phenomena, experimenting, and getting back to the team with conclusions.
Ability to learn and work with different storage types in the cloud, with the sole purpose of making advanced research possible.
Experience working in an agile environment
CV'S TO [email protected] OR Apply at the "Apply" link