Head of Business HR
Reaktor
Lead Reaktor’s People Partner team and shape HR strategy across its software product and technology consulting businesses. Develop product workforce plans, people practices and leadership capability.
Ochish
Glintt Global — korporativ texnologiyalar, raqamli transformatsiya va konsaltingga e’tibor qaratadigan, Portugaliyada joylashgan IT xizmatlari va dasturiy ta’minot kompaniyasi. Uning faoliyati shifoxona axborot tizimlari va klinik dasturiy ta’minot kabi sog‘liqni saqlash sohasidagi IT yechimlari, shuningdek korporativ platformalar, biznes jarayonlari xizmatlari va tizimlar integratsiyasini qamrab oladi. Glintt Global sog‘liqni saqlash, korporativ texnologiyalar va konsalting muhitlarida ishonchli dasturiy ta’minot hamda texnologik yechimlarga muhtoj korporativ va davlat sektori tashkilotlarini qo‘llab-quvvatlaydi.
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.
Tavsif
- 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
Talablar
- 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
O‘xshash ish o‘rinlari
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