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Tripadvisor Experiences Engineering is seeking a Senior ML Ops Engineer to join the team building the world's leading marketplace for travel experiences. This hybrid role is based in the London office with a minimum 2 days per month on-site requirement, open to candidates based in London or within 1.5 hours of the city.
You will play a pivotal role in empowering Data Science and ML teams by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Your responsibilities will include:
- Empowering Data Science and ML teams by providing tools and infrastructure for seamless execution of data science and machine learning tasks
- Supporting tech stack evolution by developing across existing technology while contributing to migration into AWS cloud, leveraging the latest services available
- Designing, building, and maintaining robust and scalable infrastructure to support pre-computed, batch, and real-time model needs, ensuring smooth deployment and operation of machine learning models
- Fostering a culture of innovation by generating and promoting new ideas within the ML Ops domain and finding creative solutions to complex problems
Tripadvisor connects people to experiences worth sharing and aims to be the world's most trusted source for travel and experiences. The company operates a portfolio of travel brands including Tripadvisor, Viator, and TheFork, serving a global audience through rich content, travel guidance, and two-sided marketplaces.
QUALIFICATIONS:
- 4+ years of ML Ops experience focused on building modern ML infrastructure catering to all stages of a model lifecycle, including development, deployment, management, and monitoring
- Hands-on experience with AWS and GCP, demonstrating proficiency in leveraging cloud services for scalable and reliable ML Ops solutions
- Good grasp of Infrastructure-as-Code (IaC) tools like Terraform and CloudFormation
- Previous exposure to additional technologies such as Python, Spark, Pandas, Docker, Kubernetes, Seldon, MLFlow, Sagemaker, Valohai, ArgoCD, Argo Workflow, Postgres, BigQuery, and Java is highly desirable
- Data Engineering experience on the cloud, preferably GCP or AWS
- Ability to develop across a diverse technology stack and willingness to take on new technologies
- Demonstrated experience participating on cross-functional teams in fast-paced environments
- Excellent ability to break down complex problems into simple solutions
- Experience with CI/CD processes and platforms
- Ability to operate both independently and as part of a team
- Sense of ownership, urgency, and pride in work
- High-quality verbal and written communication skills
