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Accor Tech & Digital, in Issy-les-Moulineaux, is seeking a senior AI/ML leader to drive the design, deployment and operation of machine learning, generative AI, and LLM-based platforms. You will guide architecture, tooling and best practices across data, product and engineering teams.
The role emphasizes hands-on Python, PyTorch, LangChain/LangGraph, and cloud-based MLOps. Remote-friendly with a strong hospitality context, you’ll influence business decisions and mentor peers.
Join Accor – a professional journey at the heart of a committed, international and transforming group
Accor, a global leader in hospitality, present in more than 110 countries with 5,500 hotels, welcomes you to its offices located in Issy-les-Moulineaux.
This is where the Group’s global expertise comes together: strategy, finance, human resources, legal, technology, marketing, sustainability, communication, audit, procurement, etc.
Joining Accor means actively contributing to defining, structuring, and supporting the transformation of an international group, in direct connection with operational teams around the world.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality.
Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences.
Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries.
Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams.
Here, your scope will know no boundaries;
So join us and dare to make an impact on the world!
This is where your greatest challenge awaits:
Reporting to the SVP of Data Science & AI, you will join a team at the heart of the Accor Group’s transformation through data and artificial intelligence.
Within the Data department, the Data Science & AI vertical aims to define and implement the Group’s AI vision, to scale up the use of ML, GenAI and Agentic AI, and to maximise the business impact of these technologies on the customer experience, hotel operations and internal teams.
As a senior technical leader, you will drive the design, development and deployment of machine learning, generative AI and agentic AI solutions, as well as LLM-based platforms, enabling high-impact business capabilities and services.
Your Mission
And you ? Master's degree in Engineering, Computer Science, Data Science, or a related field. Minimum 10 years of experience in Data Science and Machine Learning, including several years working with deep learning, generative AI and LLMs. Proven track record of designing, deploying and operating Machine Learning and Generative AI solutions, including chatbots, content generation platforms and agentic workflows. Strong communication and stakeholder management skills, with the ability to explain GenAI concepts, limitations and risks to non-technical audiences and influence strategic decision-making. Hands‑on expertise in Python and modern AI/ML frameworks and technologies, including PyTorch, LangChain, LangGraph and related ecosystems. Strong knowledge of RAG, vector databases, embeddings and agent orchestration frameworks. Proven experience with cloud‑based MLOps and LLMOps practices (AWS, MLflow, CI/CD, etc.), including LLM evaluation, observability and large‑scale monitoring of quality, latency and cost. Experience within hospitality, travel, retail, or large‑scale B2C/B2B environments would be a strong advantage.
Additional Information Accor dares to impact: - the world Accor is committed to the world around us, with a strong employer culture focused on the development of our 300,000 talents.
We value the richness of diverse nationalities, personalities, and professional backgrounds.
We know how to adapt to the specific needs of our employees, including those with disabilities.
We encourage all applications, regardless of gender,