Machine Learning Engineer II
hace 2 días
Madrid
Join to apply for the Machine Learning Engineer II role at Expedia Group 1 day ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer II role at Expedia Group Get AI-powered advice on this job and more exclusive features. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to the team Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more … We are looking for a Machine Learning Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by ensuring our ML models are efficiently deployed, scaled, and monitored in production environments. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to bring their models to life in production. This role requires an individual with a strong foundation in software engineering and machine learning infrastructure, who is passionate about building robust and scalable systems. You should be comfortable with ambiguity, enjoy tackling complex technical challenges, and have a keen interest in optimizing ML workflows. We welcome candidates who are strong problem solvers and passionate about building ML systems. Even if you don’t meet every single requirement listed below. If you believe you can do the job and are excited to grow with us, we’d love to hear from you. In This Role, You Will • Design and implement scalable infrastructure for deploying ML models in production., • Build and maintain data pipelines for efficient processing and feature engineering., • Optimize compute resources and enhance model serving performance., • Set up monitoring and logging systems for deployed ML models., • Collaborate with ML scientists to streamline development-to-production workflows., • You hold a Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field., • You have 2+ years of experience in Software, Data, or ML engineering roles (preferred)., • You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch., • You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka)., • You are experienced or interested in ML model serving technologies (e.g., MLflow, TensorFlow Serving) and CI/CD tools (e.g., GitHub Actions)., • Entry level, • Full-time, • Engineering and Information Technology Get notified about new Machine Learning Engineer jobs in Madrid, Community of Madrid, Spain . 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