Senior ML Operations Engineer

Summary

Join Viator, a Tripadvisor company, as a Senior Machine Learning Engineer to contribute to the growth of their leading travel experiences marketplace. This remote-first role, based in Krakow, involves empowering data science and ML teams by providing tools and infrastructure for seamless execution of data science and machine learning tasks. You will support tech stack evolution, design and maintain scalable infrastructure for model needs, and foster a culture of innovation. The position requires 5+ years of ML engineering experience with AWS and IaC tools. Viator offers competitive compensation, flexible work arrangements, and various benefits including health benefits, tuition assistance, travel perks, and more.

Requirements

• 5+ years of ML engineering experience, focused on building modern ML infrastructure catering all stages of a model lifecycle, including development, deployment, management and monitoring
• Hands-on experience with AWS
• Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation
• Ability to develop across a diverse technology stack and willingness and ability 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
• Sense of ownership, urgency and pride in your work
• High quality verbal and written communication skills

Responsibilities

• 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
• Design, 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

Preferred Qualifications

Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable

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
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
• Donation matching. Give back? Give more! We match qualifying charitable donations annually
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
• Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
• 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
• Health benefits. We offer great coverage and competitive premiums