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Data Scientist/Machine Learning Engineer
hace 2 meses
About WebBeds
WebBeds is a leading global accommodation supplier to the travel industry, offering ground services to travel professionals. Our products help partners and customers create amazing travel experiences through innovative technology.
Our Products
We deliver a range of products, including a Retail Online platform, Integration Connectivity hub, and distribution APIs, processing up to 5.0 billion search requests daily. Our systems are 100% cloud-hosted, enabling us to provide fast and reliable services.
What We Do
We are seeking a talented Data Scientist/Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. As a key member of the team, you will play a crucial role in developing AI/ML solutions from discovery to delivery, elevating the performance and effectiveness of the WebBeds marketplace.
Key Responsibilities
- Discovery and Design: Analyze problems and design solutions using 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.
- 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 Leadership: Collaborate closely with experienced colleagues and engage effectively with technical and non-technical stakeholders across the organization.
- Community Contribution: Evangelize good practices of AI & ML development and usage, championing a culture of continuous improvement and innovation.
Requirements
- 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 business or customer impact.
- Proficient in modern AI/ML techniques, particularly dealing with tabular data (e.g., forecasting, ranking, or classification).
- Excellent working knowledge of Python and ML, with a solid understanding of SQL.
- Passionate about creating business value and AI/ML techniques.
- Effective communication skills, with the ability to communicate results to technical and non-technical audiences in English.
