6 days ago
Barcelona, Spain or Madrid, SpainSenior
Responsibilities
- Design and deliver end-to-end data science and AI solutions from business understanding and data exploration through deployment and monitoring.
- Perform exploratory data analysis, feature engineering, and preprocessing on structured and unstructured data.
- Develop, train, evaluate, and optimize machine learning and deep learning models using appropriate algorithms and validation strategies.
- Contribute to Generative AI solutions including LLM applications, prompt engineering, RAG architectures, and applied NLP use cases.
- Translate business problems into analytical and machine learning formulations and explain trade-offs and results to technical and non-technical stakeholders.
- Support client presentations, demonstrations, and proposals by communicating analytical insights and AI-driven value.
- Collaborate with senior team members and architects to identify opportunities for advanced analytics and AI transformation.
- Create reusable code templates, analytical frameworks, and internal training materials while sharing knowledge with the team.
Requirements
- Strong foundations in data science and applied machine learning, including supervised and unsupervised learning.
- Hands-on experience with machine learning and deep learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Proficiency in Python for data analysis and machine learning development.
- Experience with structured and unstructured data, including text data for NLP use cases.
- Understanding of model evaluation, validation, and performance metrics.
- Experience or strong interest in Generative AI, including LLMs, embeddings, prompt engineering, and retrieval-based approaches.
- Familiarity with NLP, computer vision, forecasting, or optimization is preferred.
- Exposure to Azure AI, Azure Machine Learning, or Azure OpenAI is highly valued.
- Ability to structure ambiguous problems and communicate clearly in English and Spanish, both written and verbal.
- Comfort 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.
- At least 3 years of applied experience delivering data science, machine learning, or AI projects in real-world environments.
Benefits
- Accelerated and structured training on Microsoft Azure and AI services.
- Hands-on exposure to client projects involving computer vision, NLP, forecasting, and Generative AI, including Azure OpenAI, chatbots, and RAG.
- Continuous learning through certifications, mentoring, and internal communities of practice.
Categories
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.