London - ML Ops Engineer II (Experiences) at Tripadvisor | GB | Rezi

London - ML Ops Engineer II (Experiences) at Tripadvisor

London - ML Ops Engineer II (Experiences)

Tripadvisor · GB

Today

London - ML Ops Engineer II (Experiences)

Tripadvisor · GB

a day ago
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About the Role

Tripadvisor Experiences Engineering is seeking an intermediate level MLOps Engineer to join their Internal Systems pillar. This role will focus on creating ML/AI Platforms that empower teams to enhance customer experiences by building and supporting the world's leading marketplace for travel experiences.

Responsibilities

  • Empower Data Science and ML stakeholders by providing necessary tools and infrastructure for seamless execution of machine learning and AI processes.
  • Support tech stack evolution by developing across the existing technology stack running in AWS cloud, leveraging and adopting the latest solutions.
  • Build and maintain a robust and scalable infrastructure for pre-computed, batch, and real-time model needs, ensuring smooth deployment and reducing time-to-market.
  • Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance.
  • Monitor and support ML pipelines for accuracy, drifts, enhancements, changes, SLA, and billing volumes.
  • Foster a culture of innovation by generating and promoting new ideas within the MLOps domain.
  • Work with cross-functional stakeholders to define and document requirements for building high-quality ML/AI products.

Requirements

  • 2+ years of MLOps experience, participating in building modern ML infrastructure catering to all stages of a model lifecycle.
  • Hands-on experience with AWS and/or GCP, demonstrating proficiency in leveraging cloud services for scalable and reliable MLOps solutions.
  • Good grasp of IaC (Infrastructure-as-code) tools like Terraform or CloudFormation.
  • Previous exposure to additional technologies like Seldon, KServe, RayServe, Kubernetes, MLFlow, Sagemaker, Kubeflow, Anyscale, Valohai, ArgoCD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflow, Postgres, Snowflake and BigQuery is highly desirable.
  • Previous knowledge managing complementary DBs like vector and/or graph DBs is good to have.
  • Hands-on experience in model optimization with experience in handling high throughput and low latency applications with an eye on cost is good to have.
  • Experience with LLMOps leveraging open source models is good to have.
  • Ability to develop across a diverse technology stack and willingness and ability to take on new technologies.
  • Demonstrated experience participating in cross-functional teams in fast-paced environments.
  • Experience with CI/CD processes and platforms.
  • Ability to effectively operate both independently and as part of a team.
  • Sense of ownership, urgency, and pride in your work.
  • High-quality verbal and written communication skills.

Skills

  • MLOps
  • AWS
  • GCP
  • IaC
  • Terraform
  • CloudFormation
  • Seldon
  • KServe
  • RayServe
  • Kubernetes
  • MLFlow
  • Sagemaker
  • Kubeflow
  • Anyscale
  • Valohai
  • ArgoCD
  • Docker
  • Python
  • Java
  • Ray
  • Spark
  • Pandas
  • Argo Workflow
  • Postgres
  • Snowflake
  • BigQuery
  • Vector DBs
  • Graph DBs
  • Model Optimization
  • High Throughput Applications
  • Low Latency Applications
  • LLMOps
  • Open Source Models
  • CI/CD

Location

  • London

Work Type

  • Hybrid
  • Remote-friendly

Experience Level

  • Intermediate

Salary/Compensations

  • Competitive compensation packages, including base salary, annual bonus, and equity.

Benefits

  • Competitive compensation packages, including base salary, annual bonus, and equity.
  • Flexibility to suit your lifestyle.
  • Remote-friendly approach to collaboration.
  • Option to join on-site as often as you’d like in select locations.
  • Flexible schedule.
  • Work-life balance.
  • Donation matching.
  • Tuition assistance.
  • Lifestyle benefit.
  • Travel perks.
  • Employee assistance program.
  • Health benefits.

About the Company

  • The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences.
  • We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories.
  • The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
  • Our Internal Systems pillar is at the forefront of transforming how we harness AI, Machine Learning and Data Science to drive innovation and growth.
  • To address the increasing traffic and deliver a cutting-edge platform, the team is in search of a MLOps Engineer to join and support Tripadvisor’s growth.
  • We aspire to lead.
  • We’re relentlessly curious.
  • We’re better together.
  • We serve our customers, always.
  • We strive for better, not perfect.

Equal Opportunity

  • 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.
  • If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request. Please include the job requisition number in your message.