At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology-driven advances to help connect people, businesses, and internet-enabled devices like never before. We combine the scale, stability and quality of our tower network with the agility, optimism and energy of a start-up.
As a young TowerCo, we have already achieved strong results with a continued focus on accelerating growth and a special emphasis put on sustainability.
As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration and teamwork.
If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top – together.
Your contribution:
- Develop and operationalize machine learning and generative AI models for high-impact business use cases;
- Design and implement data science models, including feature engineering and rapid prototyping;
- Build and automate AI pipelines, integrating them into business processes and tools;
- Manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment;
- Design and deploy GenAI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants;
- Ensure performance optimization and cost-efficiency of AI models in cloud environments;
- Collaborate with data engineers and architects to align AI components with enterprise data architecture;
- Work closely with BI and automation teams to operationalize AI insights across platforms;
- Contribute to the standardization of reusable GenAI components, prompts, and evaluation techniques;
- Ensure alignment with responsible AI guidelines, data privacy requirements, and IT security standards;
- Translate complex AI models into actionable business insights through compelling storytelling;
- Monitor new trends in GenAI and identify opportunities for innovation and impact.
- Strong foundation in data science and machine learning, including traditional ML and GenAI use cases, with hands-on experience in applying these techniques to real-world business problems;
- Ability to identify and prioritize AI opportunities based on business value and feasibility;
- Proven ability to develop, fine-tune, and integrate generative models (LLMs, etc.);
- Experience with prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation;
- Solid grasp of model lifecycle management, versioning, and performance tracking;
- Experience with cloud-based deployment and integration of AI into business workflows;
- Strong stakeholder communication skills, including the ability to explain AI/GenAI capabilities and limitations;
- Curiosity, adaptability, and a drive to stay ahead of AI innovation trends
You Must Have:
- A successfully completed Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field;
- At least three years of hands-on experience in building and deploying machine learning models, including a minimum of two years working with cloud-based AI services, preferably on Google Cloud Platform (e.g. Vertex AI, AutoML, BigQuery ML);
- Strong proficiency in Python, with experience in ML and GenAI libraries (e.g. scikit-learn, TensorFlow, Hugging Face, OpenAI SDK);
- Experience developing and deploying LLM-based applications (chatbots, summarizers, semantic search);
- Knowledge of MLOps and GenAIOps workflows, model retraining, and monitoring;
- Understanding of GenAI architectural patterns such as RAG, agentic workflows, and embedding stores
Strong command of SQL and working with structured and semi-structured data; - Familiarity with APIs and tools for integrating GenAI capabilities into enterprise applications;
- Extensive professional experience in distributed, multinational and complex organizations;
- Fluent English (C1) skills written and spoken
-
- A diverse, multicultural setup based on our values – respect, teamwork, responsibility and honesty – and the unique opportunity to shape the organisation
- An attractive salary package
- Meal Allowance: Delivered on Pluxee card - €9.60/day
- Pension Plan
- Full Health Insurance: For employees and co-payment for family members
- Life Insurance
- 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's.
- Parking Slot
Interested? Send us your CV with your desired salary. Depending on the role, we generally invite you to two rounds of interviews before you receive your offer.
Not the right match? We have plenty of other opportunities to choose from in this department here.
