Tripadvisor - London - Senior ML Ops Engineer (Experiences)
Requirements
• world's leading marketplace for travel experiences • 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 are looking for an intermediate level MLOps Engineer to join the team. If you're passionate about creating ML/AI Platforms that empower teams to enhance customer experiences, we’d love to have you on board! • This is a hybrid role based in London, opened for all the candidates who are already based in London or max 1,5h away. (relaxed hybrid, 2x per month) • 4+ 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. • Demonstrable experience of IaC (Infrastructure-as-code) tools like Terraform or CloudFormation in a production environment. • 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. • Good to have: previous knowledge managing complementary DBs like vector and/or graph DBs • Good to have: Hands-on experience in model optimization with experience in handling high throughput and low latency applications with an eye on cost. • Good to have: Experience with LLMOps leveraging open source models • 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. Experience being a lead engineer / SME on multiple projects • High-quality verbal and written communication skills.
Responsibilities
• Empowering Data Science and ML stakeholders, by providing the tools and support the infrastructure necessary for seamless execution of machine learning and AI processes. • Support tech stack evolution by developing across our existing technology stack running in AWS cloud, leveraging and adopting the latest solutions 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 reducing time-to-market of machine learning models. • 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 to ensure all models are processed accurately and when needed. • Foster a culture of innovation by generating and promoting new ideas within the MLOps domain. • Work with cross-functional stakeholders in defining and documenting requirements for building high-quality and impactful ML/AI products.
Benefits
• Competitive compensation packages, including base salary, annual bonus, and equity. • “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. • “Work your way” • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. • Flexible schedule. • Donation matching. Give back? Give more! We match qualifying charitable donations annually. • Donation matching. • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. • Tuition assistance. • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. • Lifestyle benefit. • Travel perks. We believe that travel is employee development, so we provide discounts and more. • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. • Employee assistance program. • Health benefits. We offer great coverage and competitive premiums. • Our Values • 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 aspire to lead. • We’re relentlessly curious. We push beyond the usual, the known, the “that’s just how it’s done.” • We’re relentlessly curious. • We’re better together. We learn from, accept, respect, support, and value one another– and are creating something remarkable in the process. • We’re better together. • We serve our customers, always. We listen, question, respond, and strive for wow moments. • We serve our customers, always. • 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. • We strive for better, not perfect. • 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 workplace is for everyone, • 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 [email protected] and let us know the nature of your request. Please include the job requisition number in your message.
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