Senior Machine Learning Engineer at KPN

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

7575.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, GenAI Solutions, Python, Azure, Infrastructure-as-Code, ML Libraries, REST APIs, Microservices, Docker, Kubernetes, Software Engineering Methodologies, CI/CD, Testing, Security

Industry

Telecommunications

Description

Company Description 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. Job Description 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. Qualifications 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. Additional Information 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, Jade Chang, 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.

Responsibilities

Develop and maintain production-grade GenAI solutions while defining priorities for the GenAI Lab roadmap. Engage in collaboration with team members and stakeholders to implement effective solutions.