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Decathlon

AI/GenAI Solutions Engineer

hace 2 días

Madrid

The Data and Artificial Intelligence team works daily to seek opportunities to generate value. We prototype, validate hypotheses with business teams, and deploy all the talent, teamwork and technology necessary to build AI-first products that have the greatest possible impact at scale (millions of users across dozens of countries) to make it accessible to as many people as possible. We build digital products based on Data and AI for the construction of a great digital sports platform. If you want to contribute to this challenge, you have at least 2 years of experience building AI products and are familiar with GenAI solutions, we would like to work with you. RESPONSIBILITIES • Design and Develop AI Solutions:, • Design, develop, and prototype AI-powered products, either agent based or GenAI assistants, with a scalable approach and adaptable to the existing infrastructure., • Evaluate and select appropriate pre-trained models from AWS Bedrock and other sources for specific business problems, such as customer service, content generation, and personalized recommendations., • Hands-on experience with LLM skills, from prompt engineering, fine-tuning to retrieval-augmented generation (RAG)., • Productivization and GenAI Ops:, • Implement solutions with Python is your must, aware of the relevance of creating modular and scalable solutions following good practices of OOP., • Deploy and scale models into production environments using AWS services and other state-of-art standard libraries., • Develop and maintain robust CI/CD pipelines for GenAI models deployment, monitoring, and maintenance within the Databricks environment, potentially utilizing tools like MLflow., • Research and Development:, • Stay abreast of the latest advancements in AI and explore new opportunities for its application within the retail (sports) industry., • Conduct research and development on novel AI and GenAI applications relevant to business goals. WHAT YOU NEED TO SUCCEED • Familiarity in GenAI foundations: Understanding of LLMs models, their capabilities, limitations, and best practices for their use., • Experience with GenAI agents frameworks: You have implemented agent solutions integrating them within business ecosystems for instance using MCP., • Knowledge of the most relevant GenAI libraries: Experience using standard libraries in the industry, understanding their potentiality and usefulness like Langchain, LangGraph, LlamaIndex, etc., • Software engineering proficiency: Strong Python programming skills, experience with software development best practices such as Object-Oriented Programming (OOP) and familiarity with Git (GitHub)., • Productivization expertise: Proven experience handling the lifecycle of solutions in production with Ops tools and technologies, including CI/CD pipelines with Github Actions, Docker containerization, and model monitoring., • Cloud computing experience: Experience with AWS services such as S3, Sagemaker or Bedrock., • Communication and collaboration: Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams., • Problem-solving and critical thinking: Ability to analyze complex problems, identify creative solutions, and adapt to new challenges., • English and Spanish: Very fluent in both languages (written and spoken). Bonus (Skills Appreciated) • Domain knowledge (desirable): Basic understanding of the retail (sports) industry, customer behavior and relevant business processes., • Experience with Databricks: Hands-on experience with the Databricks platform for data engineering, model training, and deployment., • Experience with MLflow: Familiarity with MLflow for model tracking, experiment management, and model deployment., • Experience with GCP AI Platform: Familiarity with GCP AI Platform services and tools like VertexAI., • Experience with Kubernetes: Familiarity deploying and managing models in production environments with Kubernetes. THE TEAM We're an international multidisciplinary team based in Madrid, that consists of Data Engineers, Analytics Engineers, Data Scientists, ML Engineers and Data Product Managers. Our main responsibility is to convert opportunities into Data and AI-based solutions that generate value for our customers and for all people working at Decathlon. And we work on solutions to improve the experience in our physical and digital commerce, improve our customer relationship, choosing pricing or support content generation using GenAI. WHY JOIN US • Significant discounts on the purchase of our products so that doing more sport is more accessible for you at the pace you want., • Benefits with significant discounts in relation to health and sports such as health insurance or access plan at very low cost to thousands of gyms nationwide., • Bonuses based on Decathlon results., • Possibility of shareholding of the company., • Personalized training plan according to the trajectory that you will build yourself, in an environment that will invite you to make decisions on a daily basis and where everyone considers that making mistakes is also part of the process., • Being surrounded by people who also enjoy working together building, sharing and who enjoy challenges and sports at the rhythm of each one., • Very little hierarchical and international work environment where decision-making is highly distributed and which favors internal promotion., • Professional development plan in a company where the growth of people is the priority, so you will do it accompanied by a coach., • Freedom and responsibility. Be the creator of your own journey.

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