Data Scientist / AI Engineer at Parallel Wireless

Parallel Wireless is hiring a Data Scientist / AI Engineer in Kfar Saba, Israel. Hybrid.

About Parallel Wireless

Parallel Wireless provides cloud-native Open RAN (Open Radio Access Network) solutions for mobile operators, supporting 2G, 3G, 4G, and 5G networks. Its hardware-agnostic architecture supports indoor and outdoor deployments from rural to dense urban areas, including macro, Massive MIMO, and small cell configurations. The company's customers include over 60 global mobile operators.

Data Scientist / AI Engineer job description

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.

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 systems and 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

Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com.

Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

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