Cloudbeds - Principal ML Engineer

• Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems. • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Prefect, Dagster), 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. • What Sets You Up for Success: • 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 or similar platforms. • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). • 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 • Company Awards to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025) • Overall 10 Best Places to Work | HotelTechAwards (2025) • Most Loved Workplace® Certified (2024) • Top 10 People’s Choice(2024) • Deloitte Technology Fast 500 (2024)