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To strengthen Vodafone’s corporate research group in the domains of artificial intelligence (AI) and Machine Learning (ML) for the following aims: i) to identify new use cases and enabling technologies where advances in AI and ML (incl. advanced genAI approaches, Agentic AI frameworks, new Foundation Models, Large and Small Language Models, Explainability etc.) can make a difference to Vodafone’s cost base and revenue opportunities. ii) to scout the market for high-impact emerging AI technologies and products and selectively evaluate them, iii) to drive the engagement with other Vodafone teams to identify new value & collaboration opportunities, iv) to explore opportunities arising from use of AI/ML e.g. in the context of AI Native Networks & Operations, Intent-based Automation, Network Digital Twins, 6G networks, Quantum Machine Learning, Revenue Management and AI-driven Pricing; v) to design and prototype cloud-based Web and AI applications to quickly demonstrate and evaluate new tech via proof of concept. vi) to influence and leverage external industry organisations like NGMN, GSMA in Vodafone’s interest. The candidate will join a multi-disciplinary research group and shall drive the collaboration with other teams inside the company and with technology partners. The successful candidate must demonstrate both a team-first attitude as well as intrapreneur skills for successful execution of collaborative project. The role requires hands-on expertise in generative AI, agentic AI, machine learning and deep learning and mastery in key development frameworks and relevant software engineering. Depending on projects the candidate will have to quickly learn about latest advances in important telecom domains like 5G and 6G networks, network automation, telco service models and pricing mechanisms, quantum computing for machine learning and others, based on latest work undertaken in relevant standards organisations and industry alliances (e.g. TMF, 3GPP, ETSI, GSMA, NGMN).
Job Responsibility
Outreach to other Vodafone units from different domains, identifying challenges and collaboration opportunities for applied research and innovation using advances in AI
Driving assessment and evaluation of latest AI/ML technologies incl. agentic AI for a variety of application areas
Participating in rapid prototyping & implementation of proofs of concept using state-of-the-art AI/ML techniques, frameworks and tools leveraging Google Cloud Platform
Scouting the market for companies including start-ups who work on highly promising new innovations related to AI
Contributing / (co)leading projects in external organisations like NGMN and GSMA related e.g. to AI for network automation, autonomous networks
Requirements
Proven hands-on experience in data science, machine learning, deep learning, genAI, advanced prompt engineering (e.g., via PyTorch, scikit-learn, Hugging Face)
Implementation experience with Agentic AI frameworks LangChain / LangGraph and Google Agent Development Kit
Implementation experience with Google Vertex AI
Familiarity with Google Cloud Platform GCP
Experience with cloud computing, Linux-type OS, DevOps and tools (git, GitHub)
Good experience regarding data preprocessing techniques for ML
Complete fluency in Python, Pandas, NumPy, and Jupyter
Proven expertise in designing and implementing end-to-end ML workflows, ML pipelines, from data ingestion to training, hyperparameter tuning and testing
Fluency in linear algebra and fundamentals of statistics and probability theory
Proven experience in rapid prototyping and software engineering using cloud computing
MSc or Ph.D. in one of: Computer Science, Machine Learning, Artificial Intelligence
Nice to have
BigQuery
Looker
Knowledge of data engineering techniques
Reinforcement Learning
Federated Learning
Technical fundamentals of mobile networks (5G)
Reference projects on GitHub or proven contributions to open-source software
What we offer
Hybrid work model
Bonus on top of the gross salary
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees and Family
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training