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Machine learning engineer

Madrid
Avanade
Publicada el 14 junio
Descripción

Experteer Overview In this role you design and deliver AI- and data-driven solutions for clients within Avanade's Iberia-based EME AI Delivery Hub. You work across the data science lifecycle, from data exploration to model deployment, leveraging GenAI, NLP, and computer vision on Microsoft Azure. You collaborate with clients and cross-functional teams to drive measurable business outcomes and AI-driven value. This position offers opportunities to stay at the cutting edge and advance your career through transformative AI initiatives.Compensaciones / Beneficios
- Design and deliver end-to-end Data Science and AI solutions from business understanding to deployment and monitoring
- Perform exploratory data analysis (EDA), feature engineering, and data preprocessing on structured and unstructured datasets
- Develop, train, evaluate, and optimize ML/DL models with appropriate algorithms and validation strategies
- Contribute to Generative AI solutions, including LLM-based applications, prompt engineering, RAG architectures, and NLP use cases
- Translate business problems into analytical/ML formulations and clearly explain trade-offs to technical and non-technical stakeholders
- Support the preparation of client presentations, demos, and proposals, articulating analytical insights and AI-driven value
- Stay up to date with advances in Data Science, ML, DL, and GenAI, and share knowledge within the team
- Contribute 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 operationsResponsabilidades
- Strong Data Science foundations with hands-on AI engineering
- Experience across the full data science lifecycle: exploration, model development, evaluation, deployment
- Proficiency in NLP, computer vision, and GenAI use cases
- Experience with Azure and modern AI solutions (LLMs, RAG, prompt engineering)
- Ability to translate business problems into analytical/ML formulations and communicate results to diverse stakeholders
- Excellent collaboration with clients and cross-functional teamsRequisitos principales
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