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Salary
$88k – $245k per year (Estimated)
Location
Remote/Hybrid (Kfar Saba, Israel)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Parallel Wireless is a telecommunications software and hardware company headquartered in Nashua, New Hampshire, and founded in 2012. The company develops cloud-native Open RAN (Radio Access Network) solutions that support 2G, 3G, 4G, and 5G technologies through software-defined radios and network automation tools. It serves mobile network operators and private industries globally, providing interoperable infrastructure designed to reduce deployment costs and increase operational efficiency.

We are looking for a talented, independent and self-motivated Data Scientist / AI Engineer to join our growing AI/ML team. In this role, you will work at the intersection of data science, machine learning, deep neural networks (DNN) and next-generation AI technologies, helping drive innovation within the cellular networks domain.

Responsibilities:

    • Design, develop, and deploy machine learning models to solve complex, real-world problems

    • Build and implement advanced agentic AI systemsand intelligent automation solutions

    • Evaluate new AI tools, frameworks, and research to continuously improve system performance.

    • Analyze large-scale datasets to extract insights and support data-driven decision-making

    • Collaborate with cross-functional teams to translate business needs into AI/ML solutions

Requirements:

    • At least 4 years experience as a Data Scientist/AI Engineer

    • Hands-on experience with machine learning, deep neural networks (DNN) and data analysis techniques

    • Familiarity with agentic AI frameworks and modern AI architectures

    • Strong software development skills

    • Strong analytical and problem-solving skills.

    • Independent and self-driven, while also being an effective team player

    • Experience building scalable, production-grade systems.

    • Passion for new technologies and the ability to learn quickly in a fast-paced environment

    • M.Sc. in Computer Science, Electrical Engineering, or a related field

Nice to Have:

    • Knowledge of cellular networks or communication systems.

    • Knowledge of signal processing techniques and algorithms

    • Experience with big data tools(e.g., ELK stack)

    • Experience with AWS and K8s

    • Experience as a Software Engineer, developing large-scale systems and real-time systems

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