Parallel Wireless

Data Analyst

• Analyse large telemetry and event datasets, including KPIs, alarms, downtime and crash reports, to find trends, anomalies and root causes.
• Build and validate ML models for anomaly detection, KPI forecasting, crash clustering and root-cause classification on network telemetry.
• Use AI and LLM tools for log and crash-report summarisation, natural-language querying and automated insight generation.
• Work with engineering to move validated models from notebooks into production pipelines and dashboards.
• Define KPIs, metrics and data models with product and engineering teams.
• Write efficient queries and aggregations on Elasticsearch, SQL and Python-based pipelines.
• Leverage AI tools throughout the SDLC for design, coding, testing, documentation and troubleshooting, ensuring outputs are reviewed, validated and production-ready.
• Own analytics from raw data through executive dashboards and collaborate with engineering, product and customer operations.

Senior Data Analyst, Network Analytics – AI

Accounting Manager

• Own assigned global areas of accounting responsibility
• Lead cross-entity initiatives and special projects
• Contribute to global month-end and quarter-end close deliverables
• Help design and document global accounting policies, procedures, and internal controls
• Support global audit and statutory reporting requirements
• Identify and implement automation and system improvements
• Own the accuracy and integrity of UK entity financial statements
• Direct outside accountants on statutory reporting, tax filings, and audit requirements
• Oversee accounts payable and enforce purchase order approval policies
• Govern corporate credit card reconciliation and expense compliance
• Direct lease accounting and administration
• Lead UK entity cash forecasting and partner on intercompany funding
• Lead payroll accounting support for UK HR
• Monitor UK tax and regulatory changes
• Maintain UK accounting policies and internal controls
• Drive process improvement across UK accounting operations

Full-stack Engineer

• Define the end-to-end architecture for AI/ML systems, including agent orchestration, model serving, data pipelines, RAG, and evaluation infrastructure
• Drive technical decisions around models, frameworks, deployment strategies, and build-vs-buy approaches
• Prototype and implement critical components while setting engineering and code-quality standards
• Lead AI solutions from prototype to production, including CI/CD, monitoring, model lifecycle, versioning, and rollback
• Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on network data
• Mentor engineers through architecture discussions, design reviews, and code reviews
• Collaborate with RAN Systems, PHY, L2/L3, Product, and customer-facing teams to translate network challenges into practical AI/ML solutions
• Contribute to technical roadmap discussions and customer-facing architecture discussions

Technical Lead, Artificial Intelligence

AI Engineer

• Lead the AI team and own its technical direction, roadmap, and execution
• Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization
• Define clear success metrics and ensure AI solutions deliver measurable product and business impact
• Lead architecture and technical decision-making around AI models, platforms, tools, and data
• Build and grow a multidisciplinary team, including recruitment, mentoring, performance management, and career development
• Establish engineering practices around evaluation, scalability, reliability, monitoring, and model lifecycle management
• Collaborate with Product Management, Systems Engineering, and R&D teams across Israel, India, and the US
• Partner with RAN and domain experts to identify opportunities for AI to improve network performance, automation, and operational efficiency
• Support customer-facing discussions, trials, and proofs of concept where relevant

AI Engineering Team Manager

Data Scientist

• Develop ML and DNN solutions for the RAN domain
• Develop Proof-of-Concepts and demonstrate their advantage over standard industry algorithms
• Lead integration of developed algorithms into the company’s core technology
• Collaborate with algorithms and engineering teams to ensure smooth implementation of ML solutions
• Develop and integrate advanced ML and DNN technologies into the core product within the Radio Access Network domain
• Drive innovation across the technology stack by bringing data-driven intelligence to wireless solutions

Senior Data Analyst, Network Analytics – AI

Accounting Manager

Technical Lead, Artificial Intelligence

AI Engineering Team Manager

Senior Data Scientist