ML Engineer - End-to-End AI & MLOps

KPN; Amsterdam; Hybrid; EUR 58,000 - 88,000; Full time

Benefits offered by this job

13th-month pay

Personal development budget

Flexible days off

Home-working setup

Mobile phone & laptop provided

Travel allowance

Bike allowance

Lease bike option

Pension plan (25%)

Job summary

KPN in Amsterdam is seeking an ML Engineer to drive its digital transformation into a data-driven telecom provider. You will bridge data science and engineering, translating complex challenges into scalable AI solutions and working across teams in the Data & AI domain.

You will own end-to-end AI projects, develop production-ready models, and apply DevOps practices. A master’s degree in a related field, strong English, and Dutch as a plus are required.

Qualifications

• Around 5 years of experience in data science or ML engineering.
• Master's degree in relevant field.
• Strong Python, Git, Docker, and CI/CD experience.
• Experience with ML engineering in production.
• Excellent English communication.
• Dutch knowledge is a plus.

Responsibilities

• Develop end-to-end AI solutions, from idea to production.
• Identify opportunities in ML, AI and MLOps.
• Design and build ML models and algorithms across multiple projects.
• Develop new AI capabilities for business and analytics teams.
• Improve existing models and solutions.
• Share knowledge within and outside the team.
• Support colleagues in data science, engineering and tooling.
• Work according to DevOps principles and take ownership of your solutions.

Skills

Python

Git

Docker

CI/CD

English

Education

Master's degree in AI/CS/Math/Econometrics/Applied Physics

Tools

Docker

Git

CI/CD tooling

Job description

KPN in Amsterdam is seeking an ML Engineer to drive its digital transformation into a data-driven telecom provider. You will bridge data science and engineering, translating complex challenges into scalable AI solutions and working across teams in the Data & AI domain.

You will own end-to-end AI projects, develop production-ready models, and apply DevOps practices. A master’s degree in a related field, strong English, and Dutch as a plus are required.