AI Platform / MLOps Engineer (m/f/d)

Job summary

The role focuses on designing and implementing secure, scalable AI platform capabilities to facilitate the efficient development, deployment, evaluation, and operation of AI solutions. Key responsibilities include developing reusable infrastructure for model serving, automating production processes using Infrastructure as Code and CI/CD, and collaborating with engineering teams to integrate platform capabilities into customer environments.

Qualifications

• 3–6 years of experience in platform, infrastructure, or cloud engineering
• Strong experience with cloud platforms like AWS and Azure
• Familiarity with Infrastructure-as-Code tools like Terraform
• Experience in building and operating containerized systems with Docker and Kubernetes
• Solid understanding of networking and cloud security
• Proficient in stakeholder management
• Fluent in English

Responsibilities

• Design and implement secure, scalable AI platform capabilities
• Collaborate with engineering teams and platform stakeholders
• Develop reusable infrastructure for model and LLM serving
• Create platform patterns for rapid experimentation
• Automate the transition from development to production
• Work closely with AI Engineers, Architects, Data Engineers, and Security teams
• Utilize insights from deployments to enhance platform standards

Skills

Degrees

Languages

Relocation