Glintt Global
Glintt Global
Glintt Global पुर्तगाल स्थित आईटी सेवाओं और सॉफ्टवेयर कंपनी है, जो एंटरप्राइज़ तकनीक, डिजिटल रूपांतरण और परामर्श पर केंद्रित है। इसके कार्य में अस्पताल सूचना प्रणालियों और क्लिनिकल सॉफ्टवेयर जैसी हेल्थकेयर आईटी सेवाओं के साथ-साथ एंटरप्राइज़ प्लेटफ़ॉर्म, व्यावसायिक प्रक्रिया सेवाएँ और सिस्टम इंटीग्रेशन शामिल हैं। Glintt Global हेल्थकेयर, एंटरप्राइज़ और परामर्श क्षेत्रों में मजबूत सॉफ्टवेयर और तकनीकी समाधानों की आवश्यकता वाले कॉर्पोरेट तथा सार्वजनिक क्षेत्र के संगठनों का सहयोग करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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