Senior MLOps Engineer

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced MLOps / ML Engineering professional to design and maintain the central MLOps platform for the full ML lifecycle. You will architect robust CI/CD workflows and enable self-service capabilities, partnering with Data Scientists, ML Engineers, and Infrastructure teams.

The role requires deep AWS SageMaker experience, strong Python and Terraform skills, and a passion for automation.

Qualifikationen

• 5+ years of experience in MLOps, ML engineering, or DevOps.
• Hands-on expertise with AWS SageMaker AI.
• Proficiency in AWS cloud services, Python, and Terraform.
• Strong knowledge of the ML lifecycle and containerization (Docker, Kubernetes).
• Excellent communication and collaboration skills.
• Automation-focused mindset and passion for efficiency.

Aufgaben

• Design and build our central MLOps Platform covering the complete ML lifecycle.
• Architect robust CI/CD workflows and self-service capabilities.
• Partner with Data Scientists, ML Engineers, and Infrastructure teams.
• Establish and evangelize MLOps best practices across the organization.
• Optimize infrastructure costs and enhance observability.

Kenntnisse

Communication skills

Automation mindset

Experience in MLOps

DevOps experience

Tools

SageMaker AI

AWS Cloud

Python

Terraform

Docker

Kubernetes

Jobbeschreibung

Responsibilities

• Design and build our central MLOps Platform covering the complete ML lifecycle
• Architect robust CI/CD workflows and self-service capabilities
• Partner with Data Scientists, ML Engineers, and Infrastructure teams
• Establish and evangelize MLOps best practices across the organization
• Optimize infrastructure costs and enhance observability

Requirements

• 5+ years of experience in MLOps, ML Engineering, or DevOps
• Deep hands-on expertise with AWS SageMaker AI
• Strong proficiency in AWS cloud services, Python, and Terraform
• Solid understanding of the ML lifecycle and experience with containerization (Docker, Kubernetes)
• Exceptional communication skills
• Solution-oriented mindset with a passion for automation