Senior MLOps Engineer, Buyer
Overview
Vinteden is hiring a Senior MLOps Engineer for the Buyer domain's Data Science teams in Amsterdam, Netherlands. This role focuses on scaling MLOps capabilities by acting as an expert user of existing platforms such as GCP, Vertex AI, Vespa, and Triton. The position involves taking data science work and building automated, robust paths to production for advanced machine learning models.
What you get
Employees receive 25 days of paid annual leave, a collective defined contribution pension plan, and newest MacBook models. Additional benefits include a share options programme, a daily lunch allowance, a dog-friendly office, frequent team-building events, and a confidential Employee Assistance Program. Financial support is provided through a personal budget of up to 540 euros for home workplace furniture, an IT workstation equipment setup, a work from home allowance, a monthly budget for a flexible benefits platform, and a personal monthly budget for shopping on Vinted. Commuting and mobility perks feature a company bike leasing scheme and an NS mobility card. Professional development is supported through an individual learning budget starting at 3,000 euros annually, alongside up to 10 working days over a two-year period. A hybrid work model includes two recommended office days per week, and a workation policy allows remote work up to 90 days per year in the EU, with up to 21 of those days globally, or 21 days worldwide for non-EU citizens.
Requirements
Applicants should be software engineers with a strong service mindset, automation expertise, and an understanding of machine learning workflows. Essential technical qualifications include deep expertise in GCP or Vertex AI, Kubernetes, and Docker, as well as proven experience building CI/CD and automation pipelines using tools like GitHub Actions or Jenkins. Candidates are expected to have strong communication skills and the ability to bridge data science and infrastructure teams. Familiarity with ML serving platforms like Vespa or NVIDIA Triton, ONNX model formats, and a willingness to master new technologies are considered advantageous.
How to apply
Interested candidates may apply through the organization's standard application channels for the listing located in Amsterdam.