AI Engineer

at  JYSK

JOB DESCRIPTION

Are you skilled in Machine Learning (ML) and Artificial Intelligence (AI) and experienced with the full ML/AI lifecycle, from training models to deploying them at scale? Do you excel at combining technical expertise with practical solutions to enhance business processes through predictive and prescriptive analytics? If so, you could be our next AI Engineer!
Depending on your experience, we will consider you for either an AI Engineer or Senior AI Engineer role.

WHAT SHOULD YOU BRING

We are looking for a new colleague who:

• Has a strong foundation in Software Engineering and expertise in training, optimising, and deploying Machine Learning models for performance and scalability.
• Has experience developing, operating, and monitoring AI/ML models at scale, preferably on Google Cloud Platform (or equivalent experience with Azure/AWS and willingness to transition to GCP).
• Possesses strong knowledge of AI development methodologies and tools such as Python, ML Flow, and Google Vertex AI.
• Works independently on complex tasks, engaging stakeholders as needed to ensure success.
• Demonstrates an MVP mindset and actively contributes to building minimum viable products within an agile team.
• Is proactive, willing to mentor others, and takes pride in delivering high-quality work.

ABOUT US

We believe that our employees are key to our success going from one store in 1979 to more than 3,400 stores worldwide today. That is why we strive to offer development and possibilities of growing within JYSK, and we also take pride in rewarding engagement and a great effort among our employees. Our three fundamental JYSK Values – Tradesman, Colleague and Corporate Spirit – express the behaviour and attitude that we can expect from each other. We trust each other, and we believe in delegation and freedom with responsibility.
JYSK wants to include everyone, no matter the age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and experience. Together, we secure our inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. Because a great mix of minds, talents and unique personalities makes us a stronger team.
For more information, please visit our career page.

• Building AI applications using Python and machine learning libraries, leveraging your software engineering expertise.
• Collaborating with Data Scientists, Platform Engineers, and ML-Ops specialists to develop impactful AI solutions.
• Managing AI workloads on Google Cloud Platform (GCP) to ensure optimal performance and resource efficiency.
• Designing scalable AI inference services for seamless integration with existing systems.
• Working with architects to refine AI solution design and contributing to solution planning phases.
• Supporting end-users of AI solutions with a “you build it, you own it” mindset