Role Title:
AI & Data Science Engineering Expert
Local:
Lisbon
In partnership with Vantage Towers, and as part of the strategic strengthening of its teams and the promotion of its business, we are recruiting a AI & Data Science Engineering Expert for Lisbon.
Role Purpose:
The Expert AI & Data Science Engineer is responsible for designing, building, and deploying AI models that solve real business problems and drive value creation based on VT data assets.
The role covers the full AI lifecycle — from data exploration and feature engineering to
automated deployment and continuous model improvement.
A particular focus lies on leveraging both predictive and generative AI to support business use cases such as intelligent automation, summarization, recommendation systems, and content generation.
The engineer works cross-functionally to ensure scalable, responsible, and secure AI integration into business processes and decision-making.
Key accountabilities and decision ownership:
· 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 andautomate AI pipelines, integrating them into business processes and tools;
· Manage the fullAI 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;
· Translatecomplex AI models into actionable business insights through compelling storytelling;
· Monitor new trends in GenAI and identify opportunities for innovation and impact.
Core competencies, knowledge and experience:
· 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 withprompt 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.
Must have technical/professional qualifications:
· 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);
· Knowledgeof 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;
· Extensiveprofessional experience in distributed, multinational and complex organizations;
· Fluent English (C1) skills written and spoken