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Job Description

Viator is seeking a Senior Machine Learning Operations Engineer to join their team and support the company's growth. This is a hybrid position based in the Lisbon office. The ideal candidate will play a pivotal role in a dynamic team, with opportunities to learn cutting-edge technologies around Machine Learning Platforms, and to test, develop, and implement new ideas and technologies.

Role involves:

  • Empowering Data Science and ML teams by providing tools and infrastructure.
  • Supporting tech stack evolution by developing across the existing technology stack and contributing to the migration into the AWS cloud.
  • Designing, building, and maintaining a robust and scalable infrastructure to support pre-computed, batch, and real-time model needs.
  • Fostering a culture of innovation by generating and promoting new ideas within the ML Ops domain.
  • Finding creative solutions to complex problems.
  • Touching code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.

Requirements:

  • 5+ years of ML engineering experience, focused on building modern ML infrastructure.
  • Hands-on experience with AWS.
  • Good grasp of IaC tools like Terraform and CloudFormation.
  • Previous exposure to technologies like Python, Spark, Docker, Kubernetes is desirable.
  • Ability to develop across a diverse technology stack and willingness to take on new technologies.
  • 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.

Role offers:

  • Competitive compensation packages, including base salary, annual bonus, and equity.
  • Flexibility to suit your lifestyle.
  • Flexible schedule.
  • Donation matching.
  • Tuition assistance.
  • Lifestyle benefit.
  • Travel perks.
  • Employee assistance program.
  • Health benefits.
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