Vodafone Intelligent Solutions
VOIS (Vodafone Intelligent Solutions) is seeking a GenAI / ML Engineer to build production-grade Generative AI capabilities. The role focuses on designing, developing, and enhancing GenAI and ML-based solutions for enterprise business use cases. The ideal candidate will have 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.
Company: VOIS (Vodafone Intelligent Solutions)
Role: GenAI / ML Engineer
Location: Multiple locations across 28 countries, including Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and others
Role Focus: • 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 requirements into scalable AI/ML product capabilities • Contribute to testing, evaluation, monitoring, documentation, and production-readiness of GenAI solutions
GenAI engineering patterns, Generative AI concepts, embeddings, prompts, RAG-based patterns
Recommended resources to build the skills for this position. Sponsored.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
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