Data/MLOps Engineer — AI Pipelines & On-Prem Platform

TNO; Utrecht; Hybrid; EUR 54,000 - 76,000; Full time

Benefits offered by this job

8% holiday pay

13th month bonus

Flex budget

33 days annual leave

Pension scheme

Home-working option

Mobility plan for commuting

Job summary

TNO Geological Survey of the Netherlands (TNO-GDN) seeks a Data/MLOps Engineer to design, build, operate and maintain AI platforms and data pipelines on-premise. You will enable data scientists, geologists, modellers and advisors to deliver reliable AI solutions in production.

You will contribute to data lakes, lakehouse architectures, and CI/CD and DataOps processes, with about 20% time for exploring new tools and professional growth.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
• Minimum five years of relevant experience as a Data Engineer, MLOps Engineer, Platform Engineer or Software Engineer.
• Strong experience with Python, scalable data pipelines and large datasets.
• Experience with data lakes or lakehouse architectures, CI/CD and deployment management.
• Hands-on deployment and operation experience of containerisation and infrastructure-as-code, e.g. Kubernetes and Docker.
• Knowledge of data lineage, provenance, version control and reproducible data and model workflows.
• Experience managing and operationalising applications in an enterprise environment.
• Strong communication skills and collaboration across disciplines.
• Nice to have: GitOps, MLOps, OpenShift, cloud-native architectures, LLMs, generative AI, machine learning or geodata.

Responsibilities

• Build the technical foundation enabling data scientists and geologists to develop reliable data and AI solutions in production.
• Design and manage scalable data pipelines for large geological and sensor datasets.
• Develop AI-ready data platforms and contribute to data lakes and lakehouse architectures.
• Work on CI/CD, DataOps and MLOps processes, deployment management and reproducible workflows.
• Collaborate with platform engineers to align on enterprise architecture and tool fit.
• Allocate time for researching new tools and personal development.

Skills

Python

Data pipelines

MLOps

Kubernetes

Docker

AI platforms

Education

Bachelor’s or Master’s in Computer Science / Data Engineering / AI

Tools

Kubernetes

Docker

OpenShift

GitOps

CI/CD tooling

Job description

TNO Geological Survey of the Netherlands (TNO-GDN) seeks a Data/MLOps Engineer to design, build, operate and maintain AI platforms and data pipelines on-premise. You will enable data scientists, geologists, modellers and advisors to deliver reliable AI solutions in production.

You will contribute to data lakes, lakehouse architectures, and CI/CD and DataOps processes, with about 20% time for exploring new tools and professional growth.