About the job
At Lighthouse, we are dedicated to transforming the commercial strategy landscape within the hospitality sector. Our groundbreaking commercial platform simplifies data complexities, equipping businesses with actionable insights, advanced pricing tools, and state-of-the-art business intelligence to fully realize their revenue potential.
With an impressive backing of $370 million in Series C funding and a steadfast commitment to growth, we have integrated five companies into our journey and surpassed $100 million in ARR in 2024. Our diverse team of over 850 professionals spans 35 countries and 34 nationalities.
At Lighthouse, we foster a vibrant community, emphasizing collaboration, enjoyment, and a shared commitment to reshaping the hospitality industry. Are you prepared to embark on our exciting journey and elevate your career in the most dynamic environment?
Your Responsibilities
Reporting to our Director of Data Science, as a Senior MLOps Engineer, you will play an essential role within our Data Organization. Your primary mission will be to design, construct, and sustain the robust infrastructure that underpins our machine learning solutions, ranging from classical models to innovative LLM-powered features and AI agents. In this enabling role, you will support not only the Data R&D team but also lay the groundwork that empowers other engineering teams to deploy their own AI features into production, impacting hundreds of thousands of hotels worldwide.
Your Impact Areas
- Create and implement the foundational infrastructure for deploying and managing both classical machine learning models and generative AI systems in a production environment.
- Design and maintain resilient data pipelines using Airflow to guarantee timely delivery of high-quality data to our models.
- Deploy, monitor, and enhance the performance of machine learning models on Google Cloud Platform (GCP) utilizing tools such as VertexAI.
- Act as a catalyst by developing foundational tools and providing direction that enables other engineering teams to launch their own AI features.
- Work closely with our Data Scientists to enhance the accuracy, reliability, and scalability of our models.
- Play a pivotal role in the end-to-end delivery of Data R&D projects, from research to product implementation.
- Stay updated on the latest MLOps technologies and best practices, sharing your expertise to uplift the entire team.
About Our Team
You will be joining the Data R&D team, a critical group focused on harnessing the power of data to drive innovation.
