AI Platform / MLOps Engineer (m/f/d)
Core
Design and implement scalable, secure AI platform capabilities enabling efficient development, deployment, evaluation, and operation of AI solutions.
Role type
Senior IC MLOps/Platform Engineer
Builds
Reusable infrastructure for model and LLM serving, orchestration, evaluation, observability, data access, secrets, identity, and environment management.
Domain
AI/ML infrastructure and cloud engineering
Deliverable
production ML models
Required skills
Cloud platforms (AWS, Azure), Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes), Cloud security, CI/CD, Stakeholder management (via careerplan.io/jobs/2579359-ai-platform-mlops-engineer-mfd-at-ommax)
Preferred skills
English fluency, additional languages
Technologies
AWS, Azure, Terraform, Docker, Kubernetes
Responsibilities
Design and implement secure, scalable AI platform capabilities; collaborate with engineering teams and platform stakeholders to translate delivery bottlenecks into practical platform services and self-service workflows; develop reusable infrastructure for model/LLM serving, orchestration, evaluation, observability, data access, secrets, identity, and environment management; develop platform patterns enabling fast experiments while meeting enterprise reliability, governance, security, and cost control requirements; automate the path from development to production via Infrastructure as Code, CI/CD, standardized environments, and operational guardrails; work closely with AI engineers, architects, data engineers, and security teams to integrate platform capabilities into real customer landscapes; leverage deployment insights to further develop platform standards, reference architectures, tooling, and reusable OMMAX assets.