Senior Machine Learning Engineer

Data & Analytics
Amsterdam
Senior
WO
Data & Analytics

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Highlights

A gross monthly salary between €5038,- and €7575,- depending on classification and work experience.
A €1,500 training budget per year, which can also be used for tuition fees.
50% discount on KPN products and services, such as KPN internet

Vacancy overview

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Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologieën. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carrière naar een hoger niveau te tillen?

Your role as Senior Machine Learning Engineer

In this role, you’re the driving force behind developing new technologies into building blocks for the whole company to build their GenAI use cases. You’ll use cutting-edge software and tools to ensure that these solutions not only work but are also scalable, reliable, and always available. Your daily responsibilities include:

Developing and maintaining production-grade GenAI solutions
Define priorities and influence the GenAI Lab roadmap.
Operationalizing and integrating capabilities into business processes, IT, and data platforms.
Engaging in continuous collaboration with team members, domain experts, and business stakeholders to refine and implement the most effective solutions.
Mentoring junior team members and maintaining AI Excellence.

More about your position

This is your team

You’ll join in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 30+ highly skilled and energetic colleagues. As part of the AI community, you’ll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, ML Engineers, mathematicians, and data scientists. We have a close and thriving AI community of around ~100 people from different teams and departments with every month a VrijMiBo. Organizing every month a Knowledge exchange followed by different activities like playing padel, climbing or pubquizes.

All benefits

What will you bring us?

You’re eager to learn and flexible on a technical and personal level. You’re analytically strong and carry a strong sense of responsibility. You enjoy engaging both technical and non-technical colleagues in your work. To be successful in this role, you bring:

At least 5 years of experience as an AI/ML Engineer or similar.
Master’s degree with a technical component, like Computer Science or Software Engineering.
Proven experience building production-grade GenAI applications (RAG, Agentic AI, etc.).
Proficiency in Python
Experience with Azure and Infrastructure-as-Code
Experience with ML libraries, REST APIs, microservices (Docker, Kubernetes, etc.)
Excellent knowledge of software engineering methodologies and best practices including coding standards, code reviews, version control, CI/CD, testing and security.

All requirements

What will you get from us

As an employer, we have a lot to offer you. Here’s what you get from us:

A gross monthly salary starting from € 5,038 to a maximum of € 7,575, depending on your work experience, based on a 40-hour workweek.
A guaranteed 13th-month salary: part of it is paid out monthly, and part in January of the following year. Or you can allocate it towards a FLEX & BOOST goal of your choice! Click here to learn more.
Annual individual and collective salary increases according to our collective labor agreement (CAO).
€ 1,500 per year in a personal development budget that you can use at your discretion for training, coaching, or courses.
Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.
A healthy work-life balance, with 2 days in the office and 3 days working from home, transition leave, and the option to swap holidays for ones that align with your religious or cultural preferences.
A home office setup workshop to optimize your remote workspace, including a mobile phone and laptop.
50% discount on our products and services, so you can enjoy affordable internet, calls, and streaming.
Excellent travel reimbursement: full coverage for public transport or € 0.23 per kilometer if you travel by car. Prefer cycling? You can receive € 0.40 per kilometer.
The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether it’s a city bike, e-bike, racing bike, or speed pedelec, you get to choose.
Outstanding pension benefits: a total contribution of 23% of your pensionable salary, with KPN contributing 16% and you contributing 7%.

Would you like to learn more? Feel free to contact our recruiter, Caroline van den Beukel, at 0647515632 or caroline.vandenbeukel@kpn.com

At KPN, we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.

All benefits

What happens after you apply?

01

You apply

Is this job opening your dream job? Thank you for applying. We will receive your application and contact you soon.

02

Phone call

We'd like to get to know you better. We'll schedule an initial meeting. One of our recruiters will contact you by phone.

03

Second interview

Both sides still satisfied? Then a second interview will be scheduled.

04

Welcome to the team

Welcome to KPN. Today starts your induction program.

Interested? Send us your application!

Apply through the form

Can I help you?

Caroline Van den Beukel

Monteurs

caroline.vandenbeukel@kpn.com +31647515632

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