Senior Machine Learning Scientist (LLM Fine-Tuning)

Join as a Senior Machine Learning Scientist, where you'll be at the forefront of Generative AI innovation in the travel industry. Your work will focus on building, training, and deploying cutting-edge Generative AI models, specifically designed for the travel domain. You'll collaborate with multidisciplinary teams, conduct data analysis, and ensure the successful deployment of your models to production. Enjoy a range of benefits, including health insurance, paid time off, and discounts on products. - Concevoir, former et déployer des modèles d'IA générative de pointe, y compris des modèles de base formés sur des données textuelles. - Explorer et appliquer des techniques de pointe en apprentissage multimodal, former des modèles ML innovants et optimiser l'inférence. - Collaborer avec des équipes multidisciplinaires pour comprendre les exigences commerciales et les traduire en solutions d'apprentissage automatique. - Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale - Excellent English communication skills, both written and verbal - Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.) - Strong working knowledge of Python, Kafka, Pytorch, SQL, and Spark or similar technologies. Working experience with version control systems - Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels - Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators - Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.) - Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like - Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development - Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems