Senior MLOps Engineer (Machine Learning)

Location: Amsterdam, Netherlands; hybrid work with 2 recommended office days per week. Remote work is permitted for up to 90 days per year in the EU, including 21 days globally; for non-EU citizens, 21 days worldwide.

Annual gross salary: €89,000–€121,400 EUR.

Company

hirify.global is a European second-hand marketplace connecting members across more than 20 markets, with additional logistics and payments businesses.

What you will do

• Migrate existing model-training code from experimental and proof-of-concept stages into robust, automated production pipelines.
• Design, build, and maintain continuous-training workflows for data preparation, model training, and batch scoring.
• Package and deploy traditional ML models, including ONNX models, to Vespa and/or NVIDIA Triton.
• Automate model deployments, including GitHub Actions triggered by successful Vertex AI training pipelines.
• Build automated model-quality and evaluation gates for production pipelines.
• Own and continuously improve standards, quality, and governance across the complete ML model lifecycle.

Requirements

• Experience as an ML-literate Software Engineer focused on building and automating services rather than working as a Data Scientist.
• Deep expertise in GCP/Vertex AI or an equivalent platform such as SageMaker.
• Strong Kubernetes and Docker expertise.
• Proven experience building robust CI/CD and automation pipelines using tools such as GitHub Actions or Jenkins.
• Understanding of ML workflows and concepts, including training, evaluation, and inference, sufficient to debug pipelines and build meaningful quality gates.
• Strong service mindset, excellent communication, pragmatism, problem-solving skills, curiosity, and big-picture thinking.
• Ability to bridge Data Science and Infrastructure teams and deliver high-quality work into production.
• Willingness to learn and master new technologies and concepts.

Nice to have

• Familiarity with ML serving platforms such as Vespa search engine or NVIDIA Triton.
• Experience with model formats such as ONNX.

Culture & Benefits

• Hybrid work with flexibility to decide when to work from home and in the office.
• 25 days of paid annual leave, work-from-home allowance, and home-office equipment support with a personal furniture budget of up to €540.
• Learning budget starting at €3,000 per year and up to 10 working days over two years for development.
• Share options, pension plan, flexible benefits budget, daily lunch allowance, and company bike leasing.
• Employee Assistance Program, team-building events, dog-friendly office, and a personal monthly hirify.global shopping budget.
• Knowledge-sharing community with engineering workshops and related learning activities.