Machine Learning Engineer
Ballerup
GN Group
The GN Group is a global leader in intelligent audio solutions that let you hear more, do more and be more than you ever thought possibleJoin our team as an ML Engineer within R&D at GN, where you will have the opportunity to work with AI/ML technologies from development to production.
In this role within the R&D Insights & ML Team, you will play a key part in establishing a world-class team competency in AI/ML. If you have experience with time-series analysis, predictive modelling, 3D modelling, or biosensing projects we would love to hear from you. Your experience with Generative AI and LLMs will also be highly valued.
This position offers a dynamic and collaborative work environment, where you will engage with team members to tackle open-ended problems that require innovative solutions. You will also benefit from a multi-disciplinary approach, interacting with IT, global operations, sales and marketing, and product development teams to drive impactful projects. Your written and verbal communication skills will be essential.
Embark on an exciting adventure with us and make a significant impact in the world of AI/ML at GN.
The Team You Will be Part of
You will be working in the Research and Technology organization in the Insights & Machine Learning group. This is team is responsible for the managing and working with large tabular datasets as well as unstructured datasets, developing novel AI/ML cloud-based solutions to improve internal processes and provide differentiated value in our solutions.
You will be working from our HQ in Ballerup.
Your contribution is appreciated, and you will:
Have responsibility for creating and monitoring cloud-based AI/ML models that improve internal processes and differentiate our products and our company.
Find innovative ways to improve internal R&D processes and operations processes through AI technologies.
Work with a variety of tasks through structured and unstructured datasets and apply varies technologies ranging from more traditional machine learning to advanced neural networks and modern LLMs Gen. AI.
To succeed in the role, we imagine that you have
Master’s in computer science or engineering with at least 2 years work experience with AI/ML.
Understand how to build and maintain datasets for production AI/ML models.
Experience building supervised and unsupervised machine learning algorithms, experience with LLMs, 3D modelling, or biosensors is a plus.
A flare for creativity and an ability to test and visualize model output through tools such as Power BI.
We encourage you to apply
Even if you don’t match all the above-mentioned skills, we gladly receive your application if you think you have transferrable skills. We highly value the right mindset; motivation and energy and we believe that the right personal competencies are highly important for creating success.
We are dedicated to an inclusive recruitment process and all applicants will receive equal consideration for employment.
Join us in bringing people closer
GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.
How to apply?
To apply, use the ‘APPLY’ link no later than July. 15. Applications are assessed on a continuous basis, so don’t wait to send yours.
We encourage you to submit your CV without a photo to ensure an equal and fair application process.
If you would like to know more about the position, please contact Anthea Bott, Manager R&D Insights and Machine Learning.
We hope you will join us on this journey and look forward to receive your application.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Generative AI LLMs Machine Learning ML models Power BI R R&D Research
Perks/benefits: Career development
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