Vacature Machine Learning Engineer

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Machine Learning Engineer - Gen AI

NN Group logo

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Machine Learning Engineer - Gen AI

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We bieden je

• NS Business card, ook privé te gebruiken
• 13e maand en vakantiegeld
• 27 vakantiedagen en 1 Diversiteitsdag
• Hybride werken

Waarom Nationale-Nederlanden

• Support +20 miljoen klanten
• Sterk Nederlands merk
• Inclusieve werkgever
• Werken aan vitaal Nederland

Snel naar:

introDo you enjoy building scalable AI applications and concrete solutions with a significant impact? Then this is the job for you! The possibilities that AI offers are increasing rapidly and we are looking for a colleague to strengthen our central AI team within Schade & Inkomen. Together, we use the latest techniques to build solutions that make interaction with our customers better, faster, and easier.You will be part of the central Pricing & Data Office. The Pricing & Data Office actively collaborates with the business and is always seeking sustainable and effective solutions. Connection with the business, expertise, responsibility, results-oriented approach, and having fun are important to the Pricing & Data Office. It is a team of passionate specialists.

Stel je vraag aan Renske Timmerman

Wat ga je doen?

Wat je gaat doen

Within the Data Office, we have a team responsible for building impactful AI solutions. With these AI solutions, we help our business unit Schade & Inkomen to digitize important processes. An example of this is the digitization of our Claims processes. Your main goal is to deploy/roll out the AI solutions of your colleagues/the AI solution made together with your colleagues in a scalable and secure way.

In the past year, we have set up various applications using LLMs and we are now looking for an experienced Machine Learning Engineer to further scale these applications and help build new AI solutions. You provide a clear vision of the required Cloud architecture and manage it for our AI solutions. With your solution-oriented and proactive mindset, you help the team scale and make the best AI solution for business problems production-worthy. We work agile with colleagues from the business on projects that are often sprint-transcending.

In concrete terms, you bring AI solutions to production so that your solutions really create value for our company of tomorrow. Exploring and applying new technology plays an important role. In addition, you actively contribute to innovation within NN. During our monthly innovation day, you investigate with your colleagues which new techniques are applicable within our company.

If you are the Machine Learning Engineer who can deliver production-worthy AI solutions with impact, then this job is for you!

Wat wij jou bieden

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

• Salary between € 3.972,- and € 5.675,- depending on your knowledge and experience
• 13th month and holiday allowance are paid with your monthly salary
• 27 vacation days for a 5-day working week and one Diversity Day
• A modern pension administered by BeFrank
• Plenty of training and learning opportunities
• NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
• Allowances for setting up your home office and for internet use

Wat je meebrengt

You are result-oriented and enjoy delivering projects for the business, but you see the most value in the further adoption of our AI solutions. Your open-minded attitude and strong communication skills are hugely helpful in this regard. Additionally, you have:

• A completed university education with a master's degree in Computer Science, Artificial Intelligence, Software Engineering, or another STEM-related field, in which you gained experience in developing ML applications
• Experience in developing APIs, Azure, CI/CD, Infrastructure as code (Terraform), Git
• Extensive experience in programming in Python
• Experience in setting up performance monitoring for AI models and methodologies for improving performance in a business context
• A plus if you have experience with Generative AI such as LLMs, Docker & Kubernetes
• Above all, you enjoy further developing the above points on the job

Je zal samenwerken met

Met wie je werkt

The team you work with on a daily basis consists of a group of data scientists, a small group of software and machine learning professionals, and a program manager who oversees our activities. You will, of course, work closely with the team's data scientist, and together with these colleagues, we work with great enthusiasm and dedication every day to optimize and innovate customer service, processes, and quality.

In addition, you are a member of the "Engineering" guild, where about 400 engineers meet each other. Here, you exchange knowledge and experiences with peers. We believe that every engineer can learn something from their peers, and vice versa. This way, you accelerate your career and deliver maximum value with our AI solutions.

Onze kantoren zijn 100% circulair gerenoveerd. Zero waste, maar zonder concessies te doen aan het ontwerp.

Onze in-house 'event space' is hét creatieve centrum voor het delen van kennis.

Bij NN werken we hybride. Samen met jouw team bepaal jij waar en wanneer je werkt.

'Ýou Matter', dat is onze merkbelofte.

Het kantoor is een ontmoetingsplek, met ruimte om te brainstormen en samen te werken.

Ons hoofdkantoor ter gelegenheid van het event: 'Den Haag Stad Escher' in 2023.

Wij delen dit graag met elkaar.

Wij geloven in de kracht van kunst en zijn trotse partner van het Mauritshuis.

Ben je net zo enthousiast?

Functie:	machine learning engineer
Startdatum:	11-06-2024
Ervaring:	Ervaren
Educatielevel:	HBO
Contracttype:	Vast
Salaris:	3972 – 5675
Uren per week:	1 – 40

Heb je interesse in deze vacature en wil je graag op deze functie solliciteren? Neem dan contact op met Unknown via Unknown of Unknown. Of bezoek hun website Unknown.