Technical Lead, Artificial Intelligence
Parallel Wireless2 months ago
Kefar Sava, IsraelStaff+
Responsibilities
- Define end-to-end architectures for AI/ML systems involving agent orchestration, model serving, data pipelines, RAG, and evaluation infrastructure.
- Drive decisions on models, frameworks, deployment strategies, and build-versus-buy approaches.
- Prototype and implement critical components while setting engineering and code-quality standards.
- Lead AI solutions from prototype through production, including CI/CD, monitoring, model lifecycle management, versioning, and rollback.
- Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on network data.
- Mentor engineers through architecture, design, and code reviews.
- Collaborate with RAN Systems, PHY, L2/L3, Product, and customer-facing teams to develop practical AI/ML solutions for network challenges.
- Contribute to technical roadmaps and customer-facing architecture discussions.
Requirements
- 7+ years of software or ML engineering experience with significant experience delivering production systems.
- Proven technical leadership and ownership of complex system architecture end to end.
- Strong Python skills and hands-on experience with PyTorch or similar ML frameworks.
- Practical experience with LLM-based systems, including agents, tool calling, RAG, orchestration, prompt/context engineering, and evaluation.
- Strong understanding of classical ML, time-series analysis, anomaly detection, and supervised learning.
- Working knowledge of 4G/5G RAN architecture, L1/L2/L3, network KPIs, and cellular network operations.
- Experience with MLOps, containers, CI/CD, experiment tracking, model monitoring, and production deployment.
- Excellent English and strong technical communication skills.
- Nice-to-have experience includes RAN, wireless infrastructure, telecom operators, chipset companies, O-RAN, RIC, rApps/xApps, E2/A1/O1 interfaces, link adaptation, scheduling, RRM, channel modeling, PHY simulation, reinforcement learning, contextual bandits, real-time or resource-constrained ML deployment, signal processing, communications, information theory, or an M.Sc./Ph.D. in a related field.
Categories
About Parallel Wireless
Parallel Wireless builds open, cloud-native RAN software and solutions for 2G–5G networks used by mobile network operators. Its ALL G O-RAN platform supports interoperable deployments and network automation, with software licensing and services as key revenue streams. Founded in 2012 and headquartered in Nashua, New Hampshire, the privately held company reports engagements with over 50 mobile network operators worldwide.