Senior AI Engineer - Production ML & Generative AI

Kold+Partners

Denmark

Hybrid

DKK 900,000 - 1,200,000

Full time

2 days ago
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Benefits offered by this job

Flexible work-from-home policy
Staff discounts across Lars Larsen集团
Training and development opportunities
Onboarding program

Job summary

JYSK in Denmark is seeking a Senior AI Engineer to drive AI across model development, deployment, and operation at scale. You will work within an AI team spanning platform, data, and AI engineering to deliver business-ready solutions.

You will combine deep technical expertise with practical, business-focused outcomes, work in cloud environments (GCP/AWS/Azure), and help shape the next generation of AI applications, with the possibility to lead technical directions.

Qualifications

  • Master's degree in Computer Science, Software Engineering, Mathematics, Physics or related field.
  • 5+ years of experience designing, building and running AI solutions in production.
  • Experience with at least one major cloud platform (GCP, AWS or Azure). The stack runs on GCP, and you will learn what you need.

Responsibilities

  • Build, deploy and scale AI applications and the MLOps pipelines behind them.
  • Use and adapt existing large language models, including fine-tuning and post-training.
  • Research and experiment with models from classical ML to state-of-the-art.
  • Develop custom models where off-the-shelf solutions fall short.
  • Run AI workloads in cloud environments (GCP/AWS/Azure) using Kubernetes where fitting.
  • Collaborate with architects, data, AI and platform engineers on complex projects.
  • Support users with a you-build-it, you-own-it mindset.

Skills

AI engineering
Python
MLOps
Cloud

Education

Master's degree

Tools

GCP
AWS
Azure
Kubernetes

Job description

JYSK in Denmark is seeking a Senior AI Engineer to drive AI across model development, deployment, and operation at scale. You will work within an AI team spanning platform, data, and AI engineering to deliver business-ready solutions.

You will combine deep technical expertise with practical, business-focused outcomes, work in cloud environments (GCP/AWS/Azure), and help shape the next generation of AI applications, with the possibility to lead technical directions.

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