Why Avanade? Because there's literally no place like this

Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta posibilidad? Descúbralo a continuación.

We have two parent companies that give us a strong Microsoft ecosystem with space to be ourselves. People who thrive here are motivated, interested in learning and genuinely have a desire to be the best at what they do. If that sounds like you, then we're the perfect match. You will have the opportunity to utilize the most advanced technology within the Microsoft ecosystem, collaborating with some of the world's largest and most renowned companies, as well as working alongside highly intelligent individuals. This environment allows you to make a significant impact on your career trajectory. If you are looking to enhance your skills and drive transformation within businesses, there is no better place to be.
The EME AI Delivery Hub

AI-and particularly

Generative AI

is expected to profoundly impact every company over the coming years. Thanks to Microsoft and Avanade's strategic investments in AI and OpenAI, we are uniquely positioned to help our clients become

AI-first organizations

.
The

EME AI Delivery Hub

is an Iberia-based nearshore delivery center serving European and Middle Eastern clients, specialized in end-to-end AI and Advanced Analytics solutions. By joining the Hub, you will be part of a delivery pod working in an agile setup, owning AI initiatives from

problem framing and data exploration to model development, deployment, and adoption

. You will work closely with clients, guiding them throughout their AI and GenAI transformation journey.
Job Overview

As a

Senior Analyst - AI & Data Science

, you will design, develop, and deliver AI- and data-driven solutions that help our clients achieve measurable business outcomes. This role combines

strong Data Science foundations

with

hands‑on AI engineering

, including recent GenAI use cases.
You will work across the full data science lifecycle:

data exploration, feature engineering, model development, evaluation, and deployment

, while also contributing to modern AI solutions such as

LLM‑based applications, NLP, computer vision, and predictive analytics

, primarily on

Microsoft Azure

.
Key Role Responsibilities

Day‑to‑day you will:

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 (EDA)

, feature engineering, and data preprocessing on structured and unstructured datasets.
Develop, train, evaluate, and optimize

machine learning and deep learning models

, selecting appropriate algorithms and validation strategies.
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, clearly explaining trade‑offs and results to both 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 the latest advancements in

Data Science, ML, DL, and GenAI

, and actively 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.
Qualifications

Key Role Skill & Capability Requirements

Core Skills

Strong foundation in

Data Science and applied Machine Learning

, including supervised and unsupervised learning.
Hands‑on experience with

ML/DL frameworks

(e.g., 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.
AI & GenAI

Experience or strong interest in

Generative AI

, including LLMs, embeddings, prompt engineering, and retrieval‑based approaches.
Familiarity with

NLP, computer vision, forecasting, or optimization

use cases is a strong plus.
Exposure to

Azure AI / Azure Machine Learning / Azure OpenAI

is highly valued.




Professional Skills

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

.
Preferred Education Background

You likely hold a

bachelor's and/or master's degree

in computer science, Data Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field. Equivalent practical experience is also valued.
Preferred Years of Work Experience:

3+ years of applied experience

delivering Data Science, Machine Learning, or AI projects in real‑world environments.
Experience over the last few years may be

heavily focused on GenAI

, but grounded in solid ML/DL and analytical fundamentals.
What We Offer

An accelerated and structured

training program on Microsoft Azure and AI services

.
Hands‑on exposure to real client projects across

computer vision, NLP, forecasting, and GenAI (Azure OpenAI, chatbots, RAG)

.
Continuous learning through certifications, mentoring, and internal communities of practice.
Additional Information

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Avanade is committed to providing veteran employment opportunities to our service men and women.
About Avanade

As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose‑built for business‑critical, leading‑edge technology solutions, committed to improving the way humans work, interact, and live. xqbhyrx It's all here, so take a closer look!

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📌 Artificial Intelligence Engineer (Generative AI Engineer) (Madrid)
🏢 Avanade
📍 Madrid