Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale
Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices
Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps
Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions
Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies
Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms
We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency
People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team
5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production
Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)
Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms
Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)
Expert-level SQL skills and experience working with large datasets for analysis and modeling
Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges
Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment
Experience with data quality monitoring tools and frameworks
Master’s or PhD in Computer Science, Mathematics, or a related field
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary
Learn more online at cloudbeds.com