As a Senior MLOps Engineer, you'll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You'll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production.
Requirements
- 4+ years of experience in applying MLOps best practices at scale
- Strong fundamentals in Computer Science and a polyglot mindset
- Previous experience in organizing and querying data at scale data warehouses
- Ability to prioritize and manage stakeholders
- Good communication and collaboration skills
- Experience operating at scale; cloud DevOps / infrastructure mindset
Benefits
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- Hybrid working approach with three days of in office collaboration and two days of optional at home focus time
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits