GENAI / MACHINE LEARNING ENGINEER - VOIS

## Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture ##

We are seeking a GenAI / ML Engineer with 3-4 years of overall professional experience and at least 1 year of hands-on domain exposure in AI/ML, Generative AI, data engineering, cloud engineering, or enterprise AI solutions. This role focuses on building production-grade Generative AI capabilities such as Natural Language to SQL, Retrieval-Augmented Generation (RAG), LLM-based workflows, and AI-powered chatbots for enterprise users. The individual will work on scalable, cloud-based AI systems using Python, SQL, GCP, APIs, and modern GenAI engineering patterns. ## What you’ll do * Design, develop, and enhance GenAI and ML-based solutions for enterprise business use cases. * Build and improve Natural Language to SQL and Retrieval-Augmented Generation based chatbot capabilities. * Develop and maintain Python-based backend services, APIs, and AI workflows supporting LLM-driven applications. * Work with Google Cloud Platform services to build, deploy, and optimise scalable, cloud-native AI applications. * Improve retrieval quality, prompt orchestration, SQL generation accuracy, chatbot response quality, and overall solution performance. * Collaborate with internal stakeholders to translate business

into scalable AI/ML product capabilities. * Contribute to testing, evaluation, monitoring, documentation, and production-readiness of GenAI solutions. * Support continuous improvement of AI engineering practices, including prompt design, evaluation frameworks, observability, and responsible AI usage. ##