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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.
Job Responsibility:
You will develop and operationalize machine learning and generative AI models for high-impact business use cases
You will design and implement data science models, including feature engineering and rapid prototyping
You will build and automate AI pipelines, integrating them into business processes and tools
You will manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
You will design and deploy GenAI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants
you will ensure performance optimization and cost-efficiency of AI models in cloud environments
You will collaborate with data engineers and architects to align AI components with enterprise data architecture
You will work closely with BI and automation teams to operationalize AI insights across platforms
You will contribute to the standardization of reusable GenAI components, prompts, and evaluation techniques
You will ensure alignment with responsible AI guidelines, data privacy requirements, and IT security standards
You will translate complex AI models into actionable business insights through compelling storytelling
You will monitor new trends in GenAI and identify opportunities for innovation and impact.
Requirements:
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
Nice to have:
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
What we offer:
A diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
An attractive salary package
Meal Allowance: Delivered on Pluxee card - €10.20/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.