Machine Learning Engineer II (Data Pipelines - Marketplace Intelligence & P at Expedia Group

Geneva, Geneva, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Pipelines, Python, Scala, Big Data, Spark, Hive, Databricks, SQL, NoSQL, Cloud Services, AWS, Agile, Generative AI, Workflow Orchestration, Feature Engineering

Industry

Software Development

Description

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 team: Our Supply and Market Place division is sourcing the best possible inventory and content from our partners, generating the best prices and customer experience, and ensuring our supply is transacted fairly across our marketplace. This division builds innovative products, services, and tools to deliver high-quality experiences for both partners and travelers. The goal of the Supply Coaching Foundation organization is to delight partners by connecting them to the right travelers. We do this by building an adaptive experience that provides data and ML driven opportunities to our partners to help them grow their business. As part of the team, we compute, organize and stream the recommended actions for EG's supply partners with the ultimate goal of maximizing the returns for their time investment on Expedia Marketplace. We also track partner's reactions to these recommendations in order to learn and evolve continuously. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the partners of Expedia. Machine Learning Engineer II (Data Pipelines - Marketplace Intelligence & Partner Optimization) In this role, you will: Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and a few real-time data pipelines on the Cloud Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems Participate in code reviews to assess overall code quality and flexibility Define, develop and maintain artifacts like technical design or partner documentation Maintain, monitor, support and improve our solutions and systems with a focus on service excellence Experience and qualifications: Master’s in software engineering, computer science, informatics or a similar field; or Equivalent related professional experience 2+ years of experience Comfortable programming in Python (Primary) and Scala (Secondary) Hands-on experience with OOAD, design patterns, SQL and NoSQL Hands-on experience in big data technologies, in particular Spark, Hive and Databricks Experience in developing and deploying Batch Inferencing applications Basic understanding of Real-Time Model Inferencing Good understanding of machine learning pipelines and ML Lifecycle Good understanding of both traditional ML Algos and Gen-AI tools/tech-stack Experience of using cloud services, preferably AWS Experience with workflow orchestration tools (e.g. Airflow) Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning Experience working with Agile/Scrum methodologies #LI-BA1 Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. 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. Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. 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™. For more information, visit www.expediagroup.com. 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 to 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 lifeatexpediagroup.com/jobs.

Responsibilities

In this role, you will design and code large scale batch and real-time data pipelines on the Cloud while collaborating with a cross-functional team. You will actively participate in all phases of the end-to-end ML model lifecycle to tackle sophisticated business problems in production environments.