Expert AI & Data Science Engineer

QiBit Portugal; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A specialized telecom solutions company in Lisbon is seeking an Expert AI & Data Science Engineer - GenAI to develop and operationalize machine learning models. The ideal candidate has strong Python skills and experience with cloud services on platforms like Google Cloud. Responsibilities include integrating AI pipelines and collaborating with data teams to align AI components with enterprise architecture. Join a forward-thinking team and drive AI innovation in a complex, multinational setting.

Qualificações

• At least three years of experience in building and deploying machine learning models.
• Experience with cloud-based AI services, preferably Google Cloud Platform.
• Strong proficiency in Python and ML libraries.

Responsabilidades

• Develop and operationalize machine learning and generative AI models.
• Build and automate AI pipelines, integrating with business processes.
• Collaborate with data engineers to align AI components with data architecture.

Conhecimentos

Python

Machine Learning

Generative AI

SQL

MLOps

Cloud AI Services

Stakeholder Communication

Data Privacy

Formação académica

Degree in Data Science, Computer Science, Statistics, or similar

Ferramentas

Google Cloud Platform

TensorFlow

Hugging Face

OpenAI SDK

Descrição da oferta de emprego

We are looking for an Expert AI & Data Science Engineer - GenAI to join the IT team of our client – a company specialized in the Telecom sector.

What will be your main tasks and responsibilities?

• 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.

What will be required from you?

• Degree in Data Science, Computer Science, Statistics, or a similar area;
• At least three years of experience in building and deploying machine learning models, preferably 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;
• 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;
• Fluency in English both written and spoken.

Sounds like you? Send us your CV and let’s talk!