Hybrid

KPN is hiring a Senior Machine Learning Engineer

About the Role

KPN is looking for a Senior Machine Learning Engineer to be the driving force behind developing new technologies into building blocks for the whole company to build their GenAI use cases. You will use cutting-edge software and tools to ensure solutions are scalable, reliable, and always available.

What You'll Do

  • Develop and maintain production-grade GenAI solutions.
  • Define priorities and influence the GenAI Lab roadmap.
  • Operationalize and integrate capabilities into business processes, IT, and data platforms.
  • Engage in continuous collaboration with team members, domain experts, and business stakeholders to refine and implement the most effective solutions.
  • Mentor junior team members and maintain AI Excellence.

What We're Looking For

  • 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.
  • Proficiency in Python.
  • Experience with Azure and Infrastructure-as-Code.
  • Experience with ML libraries, REST APIs, and 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.

Technical Stack

  • Python
  • Azure
  • Infrastructure-as-Code
  • ML libraries
  • REST APIs
  • Docker
  • Kubernetes

Team & Environment

You will join the Data Science Lab team within the AI Excellence Center, consisting of 30+ colleagues. You'll be part of a wider AI community of around 100 people. The team is young and enthusiastic, fostering a close-knit community with monthly knowledge exchanges and social activities.

Benefits & Compensation

  • A gross monthly salary between €5,038 and €7,575, based on a 40-hour workweek.
  • 50% discount on KPN products and services.
  • €1,500 personal development budget per year.
  • Flexible leave days.
  • Excellent travel reimbursement for public transport, car, or bicycle.
  • Option to purchase a lease bike co-funded by KPN.
  • Outstanding pension benefits with a total contribution of 23% of pensionable salary.
  • Guaranteed 13th-month salary.
  • Annual individual and collective salary increases according to collective labor agreement.
  • Home office setup workshop, mobile phone, and laptop.

Work Mode

Enjoy a healthy work-life balance with a hybrid schedule: 2 days in office and 3 days from home.

KPN is an equal opportunity employer.

Required Skills
PythonAzureInfrastructure-as-CodeML librariesREST APIsDockerKubernetesMachine LearningMLOpsCloud InfrastructureCI/CDSoftware EngineeringSystem Design
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About company
KPN

KPN is a major telecommunications company in the Netherlands, providing mobile network, internet, and communication services with a focus on innovative technology solutions.

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Job Details
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Posted 17 days ago