Who you are:
- A B.Sc. degree in Electrical Engineering, Computer Science, or Software Engineering.
- Proven record of 2+ years of experience in developing and integrating AI/ML applications in real-life systems – a must.
- Proficiency as a hands-on engineer in a Linux environment, with comfort using the command line interface.
- Familiarity with Python or another common programming language.
- Understanding of the differences between software and hardware, along with the ability to envision their mutual impact.
- An independent and fast learner.
What would you do:
- You would be part of an R&D team that develops AI-driven optimization solutions.
- Define AI/ML-based algorithms based on the available data.
- Develop a PoC (Proof of Concept) for the defined algorithms on a small scale.
- Be responsible for integrating the developed algorithms into the company’s products.
What you must have:
- Proven record of developing and integrating AI/ML applications in real-life systems – a must.
- Ability to design data engineering needs and capabilities for implementation by a Data Engineer – a must.
- Experience in an MNO engineering department, so terms like "KPI’s, Neighbor Relation, Call Drop Rate, Cluster Optimization, Cell or Sector" are familiar to you – a big advantage.
- Knowledge of cellular networks – a big advantage.
- Familiarity with RAG and LLM – a big advantage.
- Experience in one or more of the following: C, C++, Java, Go, Perl, Ruby, Bash – an advantage.
- Systematic problem-solving approach, coupled with a sense of ownership and drive.
- Effectively communicates in a dynamic and fast-paced team environment.
- Excellent communication skills in both Hebrew and English.
Education:
- BS/MS degree in Computer Science or Engineering
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