Cloud Infrastructure & AI/ML Engineer

AddanEx JOB POSTING:
Title: Cloud Infrastructure & AI/ML Engineer
Location: Stockholm, Sweden
Onsite / Remote: Onsite 3 days per week
Type: Contract
Start Date: ASAP
Duration: 01/02/2027 + possible extensions
Utilisation: 40 Hours per week
Languages: English

We are seeking a Cloud Infrastructure Engineer / AI/ML Engineer to strengthen our AI and Data Science team. The assignment includes designing, developing, deploying, and operating AI solutions across a broad spectrum of use cases, including traditional machine learning, generative AI, and agent-based systems.
You will work closely with Data Scientists, Data Engineers, and business stakeholders to translate analytical and business requirements into scalable, secure, and maintainable production solutions. The role combines software engineering, data engineering, AI/ML engineering, cloud platform development, and MLOps/LLMOps practices.

A key responsibility is to ensure that AI and ML solutions can be efficiently developed, deployed, monitored, and managed within a modern Google Cloud Platform (GCP) environment. You will also contribute to building and evolving the capabilities, tooling, and infrastructure required to support AI products at scale.

We are looking for a technically strong consultant with proven experience building and operating AI-powered applications and platforms in production environments.

Required Skills:
• Hands-on experience with Google Cloud Platform (GCP).
• Experience managing cloud infrastructure using Infrastructure as Code (IaC), preferably Terraform.
• Strong software engineering background with excellent programming skills in Python.
• Experience designing, developing, deploying, and operating production-grade AI solutions.
• Solid understanding of software architecture, distributed systems, and cloud-native application development.
• Experience with MLOps and/or LLMOps practices, including CI/CD, version control, automation, monitoring, and observability.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Ability to work closely with Data Scientists and translate prototypes, models, and AI concepts into production-ready solutions.

Bonus Skills:
• Experience with Vertex AI or similar AI/ML platforms.
• Experience building Generative AI applications, RAG solutions, AI assistants, or agent-based systems.
• Experience integrating LLMs with enterprise tools, APIs, data platforms, and business processes.
• Experience developing tools, services, or platforms that enable AI agents to interact with enterprise systems.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working in large-scale enterprise environments with high requirements on security, reliability, and governance.