ML Ops Engineer

at  TripAdvisor

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it’s never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember.
The demands for Data Science and Machine Learning are experiencing rapid growth, demanding an enhancement of our Machine Learning Platform’s capabilities. To address the increasing traffic and deliver cutting-edge solutions, the team is in search of a ML Ops Engineer to join and support Viator’s growth. This role is a hybrid position based in either our Lisbon office.

WE ASPIRE TO LEAD; WE’RE RELENTLESSLY CURIOUS;… WANT TO KNOW MORE? READ UP ON OUR VALUES:

• We aspire to lead. Tap into your talent, ambition, and knowledge to bring us – and you – to new heights.
• We’re relentlessly curious. We push beyond the usual, the known, the “that’s just how it’s done.”
• We’re better together. We learn from, accept, respect, support, and value one another– and are creating something remarkable in the process.
• We serve our customers, always. We listen, question, respond, and strive for wow moments.
  We strive for better, not perfect. We won’t get it right the first time – or every time. We’ll provide a safe environment in which to make mistakes, iterate, improve, and grow.
  Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there

Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improving the business performance. As a ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include:

• Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks.
• Support tech stack evolution, by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment.
• Build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring smooth deployment and operation of machine learning models.
• Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible.
• Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.