GetYourGuide's Jean Machado, Meghana Satish, Olivia Houghton, and Theodore Meynard discuss various topics including optimizing marketing for machine learning, building services and pipelines, handling pain points in experimentation, implementing resilience and optimization in the travel industry, preventing regrets and continuing improvements, exploring use cases and building foundations, and evaluating experiments in growth.
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Quick takeaways
The Get Your Guide team prioritizes the development of their ML platform to prepare for the future of tourism, emphasizing the partnership between data scientists and engineers.
By streamlining their development process and establishing data and twin tests, the Get Your Guide team has improved productivity and ensured the reliability of their ML models, enabling rapid experimentation and implementation of various ML use cases.
Get Your Guide values collaboration and empowers teams to contribute to the development and improvement of their ML platform, focusing on enhancing observability, maintaining a flexible architecture, and exploring new tools.
Deep dives
Importance of ML Platform for Get Your Guide Team
The Get Your Guide team emphasizes the importance of their ML platform, which was developed during COVID times to prepare for the future of tourism. With a strong partnership between data scientists and engineers, they focus on quickly launching and operating machine learning systems. The team is transparent about their journey, sharing their trials and tribulations. They discuss the evolution of their ML platform and how it integrates with the overall data platform. The platform enables them to efficiently operate and iterate on various data products, supporting use cases such as optimization of marketing, retention, and ranking for activities on their travel platform.
Building and Scaling ML Models with Get Your Guide
The Get Your Guide team highlights that their ML platform allows them to rapidly iterate on experiments and launch new machine learning models. They have successfully implemented various ML use cases, including unwanted content detection for search queries and AI-based onboarding for suppliers. By streamlining their development process, integrating version control, and establishing data and twin tests, they have improved productivity and ensured the reliability of their models. They continue to prioritize expanding their ML efforts and productizing successful use cases, focusing on high-impact projects in the next three to six months.
Collaborative Approach and Future Goals
Get Your Guide embraces a collaborative approach, encouraging teams to work together and contribute to the ML platform's development and improvement. They value self-service and empower teams to build solutions while ensuring strong foundations for the platform. The team constantly seeks to enhance observability, maintain a flexible and inclusive architecture, and explore new tools, such as integrating Slack and implementing chatbots. They measure success based on the impact of experiments, increasing revenue and reducing operational costs, while also valuing the productivity of pushing data science projects to production.
Balancing ML and Business Metrics
The Get Your Guide team measures success based on both ML and business metrics. They leverage experimentation services, split testing, and performance evaluations to assess the impact of their ML models on revenue generation. They focus on growing the volume of data processed in production, reducing operational costs, and enhancing the effectiveness of data science projects. By demonstrating the value of their ML platform in terms of revenue growth, cost-cutting, and productivity improvements, they secure support and resources from management for future platform development and innovation.
Community Engagement and Ongoing Iteration
Get Your Guide actively engages with the MLOps community, driving knowledge sharing and collaboration. They organize local MLOps community meetups and contribute to the MLOps Berlin community. The company values the input and contributions of their team members, fostering an environment where ideas are shared and implemented. They continuously iterate and improve their ML platform, incorporating feedback and addressing pain points. Their open and transparent approach enables others to learn from their experiences and benefits the wider MLOps community.
MLOps podcast #182 with GetYourGuide's Jean Machado, DataScience Manager, Meghana Satish, MLOps Engineer, Olivia Houghton, Machine Learning Operations Engineer, Theodore Meynard, Data Science Manager, MLOps@GetYourGuide.
// Abstract
Join a team to talk about the journey of GYG with MLOps.
From the conception of their platform to the creation of the MLOps engineer role and to their current stack state.
// Bio
Jean Machado
Jean Carlo Machado is a DataScience Manager at GetYourGuide for the Growth Data Products team and the Machine Learning Platform Team. He is privileged to be able to work on turning ideas in data scinece from inception to production. Before GYG Jean was working in a startup in Brazil building its infrastructure from the ground up. Jean also likes community building and using technology for social good.
Meghana Satish
Meghana Satish is currently working as an MLOps Engineer at GetYourGuide. She has previously held positions at Amazon AWS in Berlin and Microsoft IT in Hyderabad. In addition to her career in technology, Meghana is also a talented singer, dancer, and yoga practitioner.
Olivia Houghton
Olivia has been working as an MLOps engineer at GetYourGuide for the past year and a half or so. Olivia's main work is in building and managing their activity ranking service.
Theodore Meynard
Theodore Meynard, Data Science Manager at GetYourGuide, leads the evolution of their ranking algorithm, enriching customer experiences. His hands-on journey from data scientist to leader has honed his expertise in MLOps and real-time ML. Beyond work, he's a co-organizer of PyData Berlin, underlining his commitment to community and collaborative learning.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
Website: https://investing1012dot0.substack.com/
The Openness of AI report: https://research.contrary.com/reports/the-openness-of-ai
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Jean on LinkedIn: https://www.linkedin.com/in/jean-carlo-machado-53b15977/
Connect with Meghana on LinkedIn: https://www.linkedin.com/in/meghana-satish-2a825282/?originalSubdomain=de
Connect with Olivia on LinkedIn: https://www.linkedin.com/in/oliviaphoughton/
Connect with Theodore on LinkedIn: https://www.linkedin.com/in/theodore-meynard/
Timestamps:
[00:00] GetYourGuide team's preferred coffee
[00:55] Takeaways
[02:20] Shout out to Berlin MLOps Community
[02:38] Please like, share, and subscribe to our MLOps channels!
[03:39] The GetYourGuide platform
[05:45] GetYourGuide use cases
[11:51] Strong Leadership Vision
[13:59] Creating rituals
[16:55] Feedback on the loop for improvements
[18:35] Different components of GetYourGuide's ML Platform
[21:04] V2 service templates
[24:26] Biggest pain points
[27:02] Feature flags
[30:51] Data foundation
[36:25] Data Testing
[39:53] Cross-team Tool Adoption Process
[44:59] Regrets about design decisions made in the past
[47:53] What's next for the platform with LLMs?
[52:49] Non-data scientists suggesting use cases, language flexibility
[55:14] DevSecOps team's AI study group ideation
[59:25] Experiments in growth data products, marketing split
[1:01:47] Shout out to the Berlin MLOps Community!
[1:03:31] Wrap up
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