Description
**Job Description**
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Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and developers to help the world’s most innovative companies unlock their potential and build a better future.
Join our team and advance your career at a company offering real growth opportunities, where you can make a difference and no two days are ever the same.
We are currently seeking a **Senior Data Scientist specialized in Generative Artificial Intelligence (GenAI)** to join a strategic energy sector project, working in a hybrid model and based in **Madrid or Barcelona**.
**Key Responsibilities**
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* Design and develop advanced Generative AI solutions focused on complex business challenges.
* Build virtual assistants, enterprise copilots, and autonomous agents based on Large Language Models (LLMs).
* Design RAG (Retrieval\-Augmented Generation) architectures using semantic search engines and knowledge bases.
* Implement advanced Prompt Engineering strategies, along with evaluation and optimization of generative models.
* Develop and validate Machine Learning and Deep Learning models for advanced use cases.
* Define metrics and evaluation frameworks to measure quality, relevance, accuracy, and safety of generated responses.
* Lead proof\-of\-concept (PoC) initiatives and deploy solutions into production using best practices in MLOps and LLMOps.
* Collaborate with multidisciplinary teams across data, architecture, and development to drive GenAI adoption.
**Job Description \- Grade Specific**
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**Required Qualifications**
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* Bachelor’s or Master’s degree in Computer Engineering, Mathematics, Statistics, Physics, or related disciplines.
* More than 5 years of experience in Data Science, Machine Learning, or Artificial Intelligence.
* More than 2 years of experience working with Generative AI technologies.
* Demonstrable experience with:
+ LLMs
+ RAG
+ Prompt Engineering
+ Embeddings
+ Fine\-tuning
+ LLM Evaluation
+ Multi\-agent systems
* Experience developing solutions from exploration through to production.
* Strong knowledge of Python (Pandas, NumPy, Scikit\-learn, PyTorch and/or TensorFlow).
* Experience with Git, REST APIs, and agile methodologies.
* Experience working in AWS environments.
* English proficiency at B2 level or higher.
**Preferred Qualifications**
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* Experience leading Generative AI initiatives in enterprise settings.
* Knowledge of MLOps, LLMOps, and production model monitoring.
* Experience with vector databases and semantic engines.
* Familiarity with LangChain, LangGraph, LlamaIndex, or similar frameworks.
* Participation in digital transformation and innovation projects.
* Cloud or Artificial Intelligence certifications.
**What We Offer**
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* Permanent contract with Capgemini Engineering.
* Involvement in strategic projects related to Generative AI and digital transformation.
* An international, innovative, and collaborative environment.
* Continuous training, certifications, and a structured career path.
* Real professional growth opportunities.
* Hybrid work model.
* Location in Madrid or Barcelona.
**About Capgemini**
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Capgemini is a global leader in transforming and managing businesses by harnessing the full power of technology. Our mission is to build an inclusive and sustainable future. With over 360\.000 professionals across more than 50 countries, we support our clients from strategy through to operations, delivering cloud, data, AI, connectivity, and software solutions.
**MAKE IT REAL. Join the team!**
www.capgemini.com/es\-es
**\#LI\-VW1**