Описание

Avanade’s EME AI Delivery Hub is an Iberia-based nearshore delivery center serving European and Middle Eastern clients with end-to-end AI and Advanced Analytics solutions. The hub helps clients pursue AI and GenAI transformation using Microsoft and OpenAI technologies.

Задачи

- Design and deliver end-to-end Data Science and AI solutions from business understanding and data exploration to model deployment and monitoring; - Perform exploratory data analysis, feature engineering, and data preprocessing on structured and unstructured datasets; - Develop, train, evaluate, and optimize machine learning and deep learning models; - Contribute to Generative AI solutions, including LLM-based applications, prompt engineering, RAG architectures, and applied NLP use cases; - Translate business problems into analytical and ML formulations and explain trade-offs and results to technical and non-technical stakeholders; - Support the preparation of client presentations, demos, and proposals; - Stay up to date with advancements in Data Science, ML, DL, and GenAI and share knowledge within the team; - Contribute to reusable assets such as code templates, analytical frameworks, and internal training materials; - Collaborate with senior team members and architects to identify opportunities where advanced analytics and AI can transform client operations.

Требования

- Strong foundation in Data Science and applied Machine Learning,



including supervised and unsupervised learning; - Hands‑on experience with ML/DL frameworks such as scikit‑learn, PyTorch, TensorFlow, or equivalent; - Solid understanding of model evaluation, validation, and performance metrics; - Experience working with structured and unstructured data, including text data for NLP use cases; - Proficiency in Python for data analysis and ML development; - Experience or strong interest in Generative AI, including LLMs, embeddings, prompt engineering, and retrieval‑based approaches; - Strong analytical and problem‑solving mindset with the ability to structure ambiguous problems; - Ability to communicate insights clearly in English and Spanish, both written and verbal; - Comfortable working in agile, client‑facing environments; - Bachelor’s and/or master’s degree in computer science, Data Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field, or equivalent practical experience; - 3+ Years of applied experience delivering Data Science, Machine Learning, or AI projects in real‑world environments; - Nice to have: Familiarity with NLP, computer vision, forecasting, or optimization use cases, exposure to Azure AI, Azure Machine Learning, or Azure OpenAI.

Условия

- Structured training program on Microsoft Azure and AI services; - Hands‑on exposure to real client projects across computer vision, NLP, forecasting, and GenAI; - Continuous learning through certifications, mentoring, and internal communities of practice.

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📌 ml engineer for client transformation (Madrid)
🏢 Enfint
📍 Madrid