Machine Learning Engineer (Gen AI)

Data & Analytics
Amsterdam
Senior
WO
Data & Analytics

Highlights

Een bruto maandsalaris tussen € 5038,- en € 7575,- afhankelijk van inschaling & werkervaring
€ 1.500 opleidingsbudget per jaar, ook te gebruiken voor schoolgeld
50% korting op KPN-producten en -diensten

Vacatureoverzicht

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Are you a Machine Learning Engineer with an interest in building Generative AI solutions on Azure? This role at KPN offers you the opportunity to leverage your software engineering skills in a AI expertise team of Data Scientists and Machine Learning Engineers. In our team we work together to explore, develop and use the newest (Gen)AI technologies. You’ll work in a young, dynamic team within the AI Excellence Center based in Amsterdam, where remote work, collaboration, and growth opportunities are central. Ready to take your career to the next level?

Jouw rol als Machine Learning Engineer (Gen AI)

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

Developing and maintaining production-ready solutions to enable analytical models to generate insights from large volumes of (real-time) data.
Operationalizing and integrating analytical capabilities into business processes, IT, and data platforms.
Working on (Gen)AI projects which require you to be an independent contributor to our department.
Ensuring the scalability, reliability, and robustness of data pipelines and solutions.
Conducting in-depth research with domain experts and team members to understand business needs and impacts.
Engaging in continuous collaboration with team members, domain experts, and business stakeholders to refine and implement the most effective solutions.

Meer over je functie

Dit is je team

You’ll join in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 25+ highly skilled and energetic colleagues. As part of the Advanced Analytics community, you’ll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, mathematicians, and data scientists. Together, we drive KPN toward becoming a truly data-driven organization.

Alle voordelen

Wat breng
jij ons?

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 2 years of experience as an ML/Data/Software engineer or similar.
Master’s degree with a technical component, like Computer Science, Econometrics, Mathematics, Engineering, etc.
Knowledge of software engineering methodologies and best practices including coding standards, code reviews, version control, CI/CD, testing and security.
Experience with Python – additional programming languages (and SQL) would be a plus.
Experience with Azure and Infrastructure-as-Code – other cloud platforms would be a plus.
Experience with ML libraries, REST APIs, microservices (Docker, Kubernetes, etc.)
Proven experience building production-grade ML solutions.
Affinity with implementation of Generative AI Applications.

Alle requirements

Wat krijg je
van ons?

Of course, as an employer, we also have a lot to offer you. Here’s what you can expect from us:

A gross monthly salary of at least €5,038 and up to €7,575, depending on your experience, based on a 40-hour workweek.
A guaranteed 13th-month bonus, partially paid out monthly and the remainder in January of the following year. Or, you can allocate it to a FLEX & BOOST goal of your choice! [Click here to read more.]
Annual individual and collective salary increases in accordance with our collective labor agreement (CAO).
€1,500 per year in a personal development budget, which you can use at your discretion for training, coaching, or courses.
Flexible vacation days: our employees can decide (in consultation with their manager) how to take their time off.
A healthy work-life balance (such as 2 days in the office, 3 days working from home, transitional leave, or swapping public holidays for ones that align with your religious or cultural preferences).
A home office package to help you set up your workspace optimally, including a mobile phone and laptop.
50% discount on our products and services, so you can enjoy affordable internet, calling, and streaming.
Excellent travel expense reimbursement: full reimbursement of public transport costs, or €0.23 per kilometer if you drive. Prefer cycling? You can receive a bicycle allowance of €0.40 per kilometer.
Option to lease a bike with monthly contributions from KPN (for permanent contracts): from city bikes to e-bikes, racing bikes to speed pedelecs – you choose your ride.
Outstanding pension scheme: a total contribution of 23% of your pensionable salary, with KPN contributing 16% and you 7%.

Want to know more? Contact our recruiter Sabina at sabina.bharati@kpn.com.

At KPN, we value smart and collaborative recruitment partnerships that contribute to our success. For this reason, we do not accept unsolicited CVs or acquisition attempts in response to this vacancy.

Alle voordelen