Remote-friendly Senior AI Engineer: Production ML & GenAI

JYSK

Denmark

Hybrid

DKK 900,000 - 1,300,000

Full time

27 hours ago
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Benefits offered by this job

Dynamic workplace
Collaborative environment
Flexible WFH policy
Staff discounts across Lars Larsen
Internal training and onboarding
Low-politics culture

Job summary

JYSK is seeking a Senior AI Engineer to lead AI initiatives end-to-end, from model development to deployment at scale. The role spans both classical ML and generative AI, with production ownership and cloud-based execution.

You will collaborate with a diverse AI team, contributing to architecture, pipelines and operations while advancing JYSK's strategic AI priorities across the business.

Qualifications

  • Master's degree in Computer Science, Software Engineering, Mathematics, Physics or related science field; PhD is a plus.
  • 5+ years of experience designing, building and running AI solutions in production.
  • Experience with at least one major cloud platform (GCP, AWS or Azure); stack runs on GCP.

Responsibilities

  • Build, deploy and scale AI applications and the accompanying MLOps pipelines.
  • 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 on Google Cloud Platform using Cloud Run, GPUs and Kubernetes.
  • Collaborate with architects and data/platform engineers on complex projects.
  • Support users with a ownership mindset.

Skills

AI engineering
Python
MLOps
Cloud deployment
Production AI

Education

Master's degree in CS/SE/Math/Physics
PhD (advantage)

Tools

GCP
AWS
Azure

Job description

JYSK is seeking a Senior AI Engineer to lead AI initiatives end-to-end, from model development to deployment at scale. The role spans both classical ML and generative AI, with production ownership and cloud-based execution.

You will collaborate with a diverse AI team, contributing to architecture, pipelines and operations while advancing JYSK's strategic AI priorities across the business.

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