Ai & Automation Expert Lisboa

Ai & Automation Expert
Lisboa
Lisboa, Lisboa, Portugal

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
- functionally to ensure scalable, responsible, and secure AI integration into business processes and
- making.

responsabilidades chave

Develop and operationalize machine learning and generative AI models for
- 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 Gen
AI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants;

Ensure performance optimization and
- 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 Gen
AI 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 Gen
AI and identify opportunities for innovation and impact.

competências

Strong foundation in data science and machine learning, including traditional ML and Gen
AI use cases, with
- on experience in applying these techniques to
- world business problems;

Ability to identify and prioritize AI opportunities based on business value and feasibility;

Proven ability to develop,
- tune, and integrate generative models (LLMs, etc. );

Experience with prompt engineering,
- augmented generation (RAG), and LLM evaluation;

Solid grasp of model lifecycle management, versioning, and performance tracking;

Experience with
- based deployment and integration of AI into business workflows;

Strong stakeholder communication skills, including the ability to explain AI/Gen
AI capabilities and limitations;

Curiosity, adaptability, and a drive to stay ahead of AI innovation trends

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
- on experience in building and deploying machine learning models, including a minimum of two years working with
- based AI services, preferably on Google Cloud Platform (e. g. Vertex AI, Auto
ML, Big
Query ML);

Strong proficiency in Python, with experience in ML and Gen
AI libraries (e. g.
- learn, Tensor
Flow, Hugging Face, Open
AI SDK);

Experience developing and deploying LLM-based applications (chatbots, summarizers, semantic search);

Knowledge of MLOps and Gen
AIOps workflows, model retraining, and monitoring;

Understanding of Gen
AI architectural patterns such as RAG, agentic workflows, and embedding stores

Strong command of SQL and working with structured and
- structured data;

Familiarity with APIs and tools for integrating Gen
AI capabilities into enterprise applications;

Extensive professional experience in distributed, multinational and complex organizations;

Fluent English (C1) skills written and spoken

principais benefícios

Excellent opportunity to join a leading company, with the possibility of professional development.