Data Scientist / AI Engineer
parallelwireless · Kfar Saba
About The Role
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
Similar roles you might like
See all →This is an external listing. JobSpring does not represent or verify the employer. Report this listing
