Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

Highlights

• Own end-to-end high-stakes AI projects like a startup CTO in small teams.
• Deploy frontier AI from consumer products to industrial transformation.
• Partner directly with customers to solve complex real-world challenges.

What they offer

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal allowance
• Transportation allowance

Ideal candidate

Customer-obsessed, low-ego problem-solver who thrives owning ambiguous projects end-to-end and translating complex ideas simply. Passionate about driving real-world impact with frontier AI across high-stakes industries.

Requirements

• Fluent in English
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 2+ years of experience in DevOps or Site Reliability Engineering role
• Experience deploying and managing AI-based products in production environments
• Fluent in Python
• Experience with containerization technologies such as Docker and Kubernetes
• Experience with CI/CD pipelines and automated deployment tools
• Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
• Experience with infrastructure as code tools such as Terraform or Ansible
• Strong communication skills explaining complex concepts to technical and non-technical audiences
• Experience as Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
• Familiarity with AI frameworks such as PyTorch or TensorFlow
• Contributions to open-source projects in DevOps or AI