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ML/AI Engineer

Want to take AI all the way from data to production? At Aixia Labs you own the chain from raw data and models to services running live with our customers.

\ About the role

What you will work on

Aixia Labs is our AI innovation unit. We develop new services and run technical AI assignments for our customers. As an ML/AI Engineer, you own the whole chain, from data and models to services running in production, and you help our customers turn their questions into solutions that work.

  • Data pipelines for synthetic datasets and image data, from collection and preprocessing to validation and modeling
  • Training, evaluating and fine-tuning models, from CNNs for computer vision to transformers and LLMs
  • LLM services where customers upload their own documents and ask questions about them, built safely with rule engines and guardrails
  • Containerizing and deploying models and services on our GPU clusters
  • Our Physical AI projects
  • Leading customer conversations, from capturing the need to defining what to build

About Aixia

Aixia builds and runs the infrastructure and solutions that make AI useful for real, from data centers and GPU clusters to AI services our customers use every day. We are based in Gothenburg and work with customers in industry, research and the public sector. Small teams, quick decisions and real ownership.

Who you are

  • Several years of experience building and deploying ML or AI solutions in production
  • You have built robust data pipelines with preprocessing and validation, across images, tabular data and unstructured text
  • Solid understanding of neural networks, for example CNNs for images and transformers for language and vision
  • Experience delivering LLMs as a service and knowing what it takes to make them trustworthy
  • You write production-quality Python, are comfortable in Linux and use agentic coding tools to move fast
  • You can lead a conversation with a customer and translate their needs into a technical solution
  • Experience with security and data protection in production, for example access control and handling of sensitive data

Nice to have

  • Data pipelines
  • Synthetic data
  • Neural networks, CNN
  • Transformers, computer vision
  • LLM: RAG, fine-tuning
  • Guardrails and rule engines
  • MLOps: serving, monitoring
  • Docker and Kubernetes
  • Data protection and access control

You do not need all of this. Tell us what you have built, run and are proud of.

Location and ways of working

The position is based in Gothenburg. You work closely with our infrastructure team, all the way down to the hardware, and you have real influence over which services we build and how.

Why Aixia

At Aixia Labs we combine our own GPU infrastructure with customer projects across industry, research and the public sector. You get to work with the latest AI technology in live production.

Want to apply?

Send your application to rekrytering@aixia.se

Apply with your CV and links to your GitHub or a project where you took AI from raw data to production.

Send your application