GCP Cloud AI/ML Infrastructure Engineer

AddanEx International; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

AddanEx International in Stockholm, Sweden is seeking a Cloud Infrastructure Engineer / AI/ML Engineer to design, deploy, and operate AI-enabled solutions across diverse use cases. You will work with Data Scientists, Data Engineers, and stakeholders to translate requirements into scalable production systems on Google Cloud Platform.

The role combines cloud infrastructure, software engineering, data engineering, and MLOps practices, with a focus on production-grade AI deployments and scalable

Qualifications

• Hands-on experience with Google Cloud Platform (GCP).
• Experience managing cloud infrastructure using Infrastructure as Code (IaC), preferably Terraform.
• Strong programming skills in Python.
• Experience designing, developing, deploying, and operating production-grade AI solutions.
• Solid understanding of software architecture, distributed systems, and cloud-native app development.
• Experience with MLOps/LLMOps, including CI/CD, version control, automation, monitoring, and observability.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Responsibilities

• Design, develop, deploy, and operate AI/ML solutions across a broad spectrum of use cases.
• Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable production solutions.
• Ensure AI/ML solutions can be developed, deployed, monitored, and managed within a modern GCP environment.
• Build and evolve tooling and infrastructure to support AI products at scale.
• Translate prototypes, models, and AI concepts into production-ready solutions.

Skills

Python

AI/ML engineering

Distributed systems

MLOps

CI/CD

Cloud-native

Docker

Tools

GCP

Terraform

Kubernetes

Docker

Job description

AddanEx International in Stockholm, Sweden is seeking a Cloud Infrastructure Engineer / AI/ML Engineer to design, deploy, and operate AI-enabled solutions across diverse use cases. You will work with Data Scientists, Data Engineers, and stakeholders to translate requirements into scalable production systems on Google Cloud Platform.

The role combines cloud infrastructure, software engineering, data engineering, and MLOps practices, with a focus on production-grade AI deployments and scalable