• India - Haryana - Gurgaon

• Technology

• Full-Time Regular

• 11/07/2025

• ID # R-98875

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

Our Supply and Marketplace division powers Expedia Group’s ability to source the best possible inventory and content from our partners—delivering competitive prices, superior customer experiences, and fair marketplace transactions.

Within this division, the Supply Coaching Foundation (Scout Team) focuses on empowering partners by providing them with data-driven, ML-powered insights and recommended actions that maximize their business outcomes. We compute, organize, and stream partner recommendations, continuously tracking engagement to learn and evolve.

Our team operates at the intersection of Machine Learning science, engineering, and operations, working in a fast-paced Agile environment to build production-grade ML systems that directly influence Expedia’s global partner ecosystem.

What You’ll Do

• Own the end-to-end ML lifecycle — from data exploration, feature engineering, and model training to evaluation, deployment, monitoring, and continuous improvement in production environments.

• Design and implement scalable ML and AI systems — including both batch and real-time pipelines — leveraging cloud infrastructure.

• Collaborate cross-functionally with Machine Learning Scientists, Data Engineers, and Platform teams to develop, deploy, and operationalize models across the Expedia marketplace.

• Prototype and productionize ML solutions, developing minimum viable products and iteratively enhancing them for scale, reliability, and impact.

• Integrate traditional ML and Generative AI approaches into partner-facing recommendation systems and internal data-driven tools.

• Implement and optimize MLOps practices for reproducibility, CI/CD, feature store management, model versioning, and model monitoring.

• Review and mentor peers and junior engineers/scientists, ensuring code and model quality across the team.

• Document and communicate technical designs and best practices to technical and non-technical stakeholders.

• Continuously monitor, maintain, and improve ML systems, ensuring high availability and service excellence post-deployment.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field; or equivalent related professional experience.

• 3+ years of hands-on experience in software or machine learning engineering (or 2+ years with a Master's degree).

• Strong programming experience in Python and demonstrated experience with the ML lifecycle (e.g., feature engineering, model evaluation, deployment).

• Knowledge of MLOps tooling, including ML orchestration (e.g., Airflow), CI/CD, model registries, and feature stores.

• Proficiency with SQL or NoSQL databases and experience working with cloud services (e.g., AWS).

Preferred Qualifications:

• Experience with Generative AI and LLM-based workflows.

• Hands-on experience with big data technologies such as Spark, Hive, or Databricks.

• Understanding of object-oriented analysis & design (OOAD), design patterns, and distributed systems architecture.

• Familiarity with Scala and experience working in an Agile/Scrum environment.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.