We are looking for a motivated Data Engineer to join our AI team, where you'll contribute to developing innovative solutions for our clients.
Who You Are:
- You are a B.Sc. in Electrical Engineering / Computer Science / Software Engineering graduate
- Big advantage if you were part of MNO engineering department so “KPI’s, Neighbor Relation, Call Drop Rate, Cluster Optimization, Cell or Sector” is not Chinese for you
- You have proven knowledge of dealing with Elastic and Kibana-based systems
- You are an independent and fast learner
What you'll do:
- You would be a part of a small RnD team that develops AI/ ML-based solutions for internal and external customers
- As part of the team you will define, develop and maintain data collection pipeline, existing and new
- You will participate in PoC-like activities as part of research activities of the team
What you must have:
- Proven record of AI/ML-related activities as a data engineer – a must
- Ability to define data engineering needs and capabilities – a must
- Experience in one or more of the following: Python (a must), C, C++, Java, , Go, Perl, Ruby, Bash – a must
- Systematic problem-solving approach, coupled with a sense of ownership and drive
- Effectively communicates in a dynamic and fast-paced team
- Excellent communication skills in both Hebrew and English
Education:
- BS/MS degree in Computer Science or Engineering
Top Skills
What We Do
At Parallel Wireless, we believe that software has the power to unleash amazing opportunities for the world. We disrupt the ways wireless networks are built and operated. We are reimagining how hardware, software and the cloud work together to change deployment economics for our customers. Our ALL G O-RAN software platform forms an open, secure and intelligent RAN architecture to deliver wireless connectivity, so all people can be connected whenever, wherever, and however they choose. We are engaged with over 50 global MNOs and have been recognized with over 74 industry awards. At the core of what we do is our team of Reimaginers who value innovation, collaboration, openness and customer success. For more information, visit: www.parallelwireless.com.
