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Glintt Global
Glintt Global
1,001 – 5,000 Employees
ConsultingEnterpriseHealthcare
Glintt Global is a Portugal-based IT services and software company focused on enterprise technology, digital transformation, and consulting. Its work includes healthcare IT, such as hospital information systems and clinical software, alongside enterprise platforms, business-process services, and systems integration. Glintt Global supports corporate and public-sector organizations that need robust software and technology solutions across healthcare, enterprise, and consulting environments.
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Senior Tech Lead, ML/AI Engineering - Lisbon Hybrid

Senior Tech Lead guiding machine learning, computer vision, and generative AI solutions at Glintt Global. Defines architectures, pipelines, and MLOps/LLMOps practices for enterprise clients.

PTPortugalHybridFull-timeSeniorPortuguese RequiredAI EngineerMachine Learning Engineer
AirflowCloudPython

Description

  • Lead end-to-end ML/AI solution design and delivery, from defining the problem through production deployment and monitoring
  • Design architectures and pipelines for machine learning, computer vision, and generative AI, including RAG, embeddings, and agentic systems
  • Work hands-on across model development, feature engineering, training, validation, and inference services
  • Apply engineering standards covering model versioning, experiment tracking, MLOps/LLMOps, CI/CD, and observability
  • Coordinate with Data Engineering, MLOps, Product, and business stakeholders to maintain technical and functional alignment
  • Contribute to pre-sales work and solution design through technical proposals and effort estimates
  • Encourage reusable components, develop technical accelerators, and mentor engineering team members

Requirements

  • Demonstrated success delivering machine learning and AI projects in production
  • Advanced proficiency in Python and the broader machine learning and deep learning ecosystem
  • Practical experience with generative AI, large language models, retrieval-augmented generation, and agent-based pipelines
  • Knowledge of API development, distributed systems, and cloud deployment
  • Experience applying MLOps and LLMOps practices to manage the model lifecycle
  • Strong technical leadership, architectural judgment, and communication across technical and non-technical audiences
  • Production experience delivering computer vision solutions is preferred
  • Familiarity with MLflow, Airflow, Kubeflow, or comparable tools is preferred
  • Experience with multi-agent systems and orchestration frameworks is preferred
  • Experience developing reusable intellectual property or technical accelerators, or contributing to pre-sales activities, is preferred
  • Valid visa or authorization to work in Portugal

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