We would love to hear from you.Send us a message and a member of the team will get right back to you.Your data is safe with us. To find out more about how WebBeds will use and store your email data go to our Privacy policy page.Your data is safe with us. To find out more about how WebBeds will use and store your email data go to our Privacy policy page.Artificial Intelligence / Machine Learning Engineer21 February, 2025- IT- Full time- HybridIn this role you will:As an AI/ML Engineer at WebBeds, you will take end-to-end ownership of AI/ML projects, from discovery and design to deployment and optimization. Your primary focus will be on leveraging AI/ML to improve forecasting, pricing strategies, outlier detection, and generative AI applications.You will work closely with software engineers, data scientists, and business stakeholders to ensure seamless integration of machine learning models into production environments. Additionally, you will drive AI/ML best practices, stay ahead of industry trends, and contribute to a culture of continuous learning and innovation.Key Responsibilities.- Discovery and Design: Analyse problems and design solutions with fit for purpose AI/ML technology.- Building AI/ML solutions: Prototype and advance machine learning and artificial intelligence products in multiple areas, such as forecasting, price optimization, outlier detection, and generative AI. Experiment with different techniques, algorithms, and tools to optimize model performance and accuracy.- Creating Impact: Write production-ready code and work with software engineering colleagues to bring AI & ML solutions live that provide value for our customers and partners.- Collaboration and Community contribution: Collaborate closely with experienced colleagues and engage effectively with technical and non-technical stakeholders across the organization. Evangelize good practices of AI & ML development and usage. Champion a culture of continuous improvement and innovation.The skills we would love to see in your suitcase.- BSc (or higher) in Computer Science, Machine Learning, Engineering, Physics, or a related field.- Experience developing fit-for-purpose AI/ML solutions that created a measurable impact in industry or academia.- Proficient in advanced AI/ML techniques, such as deep learning, reinforcement learning, or contextual bandits, and experience applying them to real-world structured data (e.G., forecasting, ranking, or classification).- Excellent working knowledge of Python, including common libraries and tools, such as PyTorch or Tensorflow. Solid understanding of SQL.- Equally passionate about creating business value and about innovative AI/ML techniques.- Take ownership of your work and collaborate effectively with colleagues and stakeholders.- Communicate results effectively to technical and non-technical audiences in English.- Continuous learning mindset, staying up to date with recent techniques and trends in the field.WebBeds is a global digital travel marketplace for the travel trade, an intermediary connecting hotels and other travel service suppliers to a distribution network of travel buyers all over the world. We connect hotels looking to fill rooms with buyers trying to find rooms. In short, we source bookable content, integrate, aggregate and merchandise that content in our platform, then distribute it to a global network of travel trade buyers, who sell to the travelling public.Our Products range from a Retail Online platform, Integration Connectivity hub and distribution APIs to name but a few and our systems are 100% cloud hosted processing up to 8.3bn search requests daily, with 17million rooms nights sold in FY24. We deliver amazing outcomes using leading edge technology through innovative and creative thinking;
and products help our partners deliver amazing travel experiences, enabling travel the world over.Some things that make us stand out!- We are a truly global travel organisation, with a global footprint.- We have 1200+ people speaking 50+ languages in 120+ cites across 50+ countries.- We partner with over 500,000 properties in more than 39,000 locations.- We work with more than 50,000 travel buyers in 140 source markets.- We have an amazing team delivering valuable outcomes using innovative tech and creative, lateral thinking.Working at WebBedsWebBeds is a fast-paced, results-driven business and that is reflected throughout our company, in our technology, product and perhaps most importantly – in our people. Visit ‘Careers’ for jobs around the world of WebBeds.Global and regional hotel chains, independent hotels, apartments, resorts, attractions, transfer and sightseeing companies and more – can sell their products through WebBeds by connecting to a global network of over 50,000 online and offline travel buyers through robust solutions that provide greater inventory control to simplify distribution, and leverage WebBeds enhanced analytics to inform inventory optimisation choices – saving costs and increasing revenue.Online travel agencies, retail travel agents, corporate travel managers, tour operators, wholesalers, tourism boards, super apps, DMC’s, group providers, airlines and more – can integrate the hundreds of thousands of hotels and ground services in the WebBeds marketplace through simple and seamless API connectivity, or they can search, shop and book online through one of WebBeds trade only booking sites.Our operation.We operate globally through four geographic regions – Europe, Asia Pacific, MEA (Middle East and Africa) and the Americas – with over 2,000 travel professionals working in 120 cities across 50 countries worldwide. WebBeds also operates specialist brands JacTravel DMC and UHl. JacTravel DMC provides tailormade travel arrangements for offline FIT and groups traveling to the UK, Ireland and key mainland European destinations to the international travel trade. UHI is a genuine pioneer, providing online pilgrimage travel services to travel agencies worldwide.WebBeds is a travel brand of the Web Travel Group, an ASX 200 listed company (ASX: WEB) operating global digital travel businesses.#J-18808-Ljbffr