ML Ops Engineer II (Experiences)
TripAdvisorResponsibilities
- Provide tools, infrastructure, and support that enable data science and machine learning teams to execute ML and AI processes.
- Develop and evolve software and infrastructure across the AWS-based technology stack.
- Build and maintain scalable infrastructure for pre-computed, batch, and real-time model workloads.
- Own software engineering activities from design and implementation through QA and maintenance.
- Monitor and support ML pipelines for accuracy, drift, enhancements, changes, SLAs, and billing volumes.
- Collaborate with cross-functional stakeholders to define and document requirements for ML and AI products.
- Promote innovation and new ideas within the MLOps domain.
Requirements
- At least 2 years of MLOps experience building modern infrastructure across the machine learning model lifecycle.
- Hands-on experience with AWS and/or GCP for scalable and reliable MLOps solutions.
- Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.
- Desirable exposure to Seldon, KServe, Ray Serve, Kubernetes, MLflow, SageMaker, Kubeflow, Anyscale, Valohai, Argo CD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflows, Postgres, Snowflake, and BigQuery.
- Desirable experience managing vector or graph databases.
- Desirable experience optimizing models for high-throughput, low-latency, and cost-conscious applications.
- Desirable experience with LLMOps using open-source models.
- Experience working with CI/CD processes and platforms.
- Ability to develop across diverse technologies, learn new technologies, and work independently and collaboratively.
- Experience participating in cross-functional teams in fast-paced environments, supported by strong written and verbal communication.
Benefits
- Hybrid London work arrangement for candidates based in London or within approximately 1.5 hours, with relaxed hybrid attendance of twice per month.
- Remote-friendly flexibility, optional onsite work in select locations, and a flexible schedule.
- Competitive compensation including base salary, annual bonus, and equity.
- Donation matching, tuition assistance, an annual lifestyle benefit, and travel discounts.
- Employee assistance and health benefits.
Tech Stack
Categories
About TripAdvisor
Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions of nearly 8 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, Tripadvisor makes planning easy no matter the trip type. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), own and operate a portfolio of travel media brands and businesses, operating under various websites and apps, including the following: www.bokun.io, www.cruisecritic.com, www.flipkey.com, www.thefork.com, www.helloreco.com, www.holidaylettings.co.uk, www.jetsetter.com, www.niumba.com, www.seatguru.com, www.singleplatform.com, www.vacationhomerentals.com, www.viator.com. * Source: SimilarWeb, unique users de-duplicated monthly, September 2023 ** Source: Tripadvisor internal log files