Ml engineer client transformation

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.

• 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.

• 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, Tensor Flow, 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.

• 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.