Machine Learning Engineer III

Overview

Design, build, deploy and operate production machine learning and GenAI systems for Expedia Group's Distribution & Supply Technology (DST) teams, covering pricing, content and marketplace trust & safety.

What you'll do

• Design, develop, test, deploy and maintain machine learning software and solutions that deliver reliable, secure and measurable outcomes.
• Translate product, business and technical requirements into scalable machine learning solutions using sound software engineering practices.
• Contribute to low-level system design, API design, data modeling and technical decisions that support maintainable, resilient and operationally reliable applications.
• Own machine learning features or components through design, implementation, testing, deployment, troubleshooting, production support and continuous improvement.
• Collaborate across engineering, product, design, data and other technical teams to deliver outcomes across multiple problem spaces.
• Safely integrate and operate AI/ML-enabled solutions, using foundational AI/ML concepts to improve product capabilities, engineering workflows and customer outcomes.

What you'll need

• Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience.
• 5+ years of relevant professional experience.
• Experience owning machine learning features or components within a service or application from design and implementation through testing, deployment, troubleshooting and operational support.
• Proficiency in software development, machine learning solution development, API integration, data modeling, version control, automated testing, debugging and production support.
• Familiarity with low-level system design and developing maintainable, reliable, secure and operationally resilient software solutions.

Nice to have

• Experience delivering machine learning products or services at scale, with a focus on performance, reliability, security, operational excellence and measurable customer or business outcomes.
• Demonstrated ability to use data and production insights to make technical decisions, diagnose complex issues and improve the reliability and maintainability of machine learning applications.
• Experience contributing to architecture and design decisions across multiple services or technical domains while collaborating effectively with partner teams.
• Practical experience using AI-assisted development tools or applying AI/ML concepts to improve product capabilities, engineering workflows or customer outcomes.
• Experience safely integrating, monitoring and operating AI/ML-enabled features in production, with attention to reliability, governance and measurable impact.

Details

• Location: Gurgaon, India.