AI Engineer

Requirements:
Who you are:
A B.Sc. degree in Electrical Engineering, Computer Science, or Software Engineering.
Proven experience in ML/AI applications, preferably with an emphasis on optimization.
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 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 "KPIs, 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.