Remote MLOps Engineer for Precision Agriculture AI

Brightlands Maastricht Health Campus B.V.; Netherlands; Remote; EUR 15,000 - 18,000; Full time

Job summary

LUXEED Robotics B.V. is a Dutch startup delivering laser-based weed control. This remote, task-based role requires around 40 hours per week and offers compensation starting at €1,500/month.

You will design and maintain scalable data pipelines, manage data ingestion and labeling workflows, and collaborate with AI researchers to productionize models. Ideal candidates hold a CS/Data Eng degree and have strong AWS, Docker/Kubernetes and MLflow experience, with a focus on reproducible MLOps pipelines

Qualifications

• Bachelor’s or Master’s in CS or data engineering.
• Proven AWS experience (S3/EC2/SageMaker).
• Strong background in MLOps, data pipelines, and automated ML workflows.
• Experience with Docker, Kubernetes and Python.

Responsibilities

• Design, build, and maintain an AWS-based data pipeline for ingestion and processing.
• Oversee data flow from collection devices to storage and training.
• Preprocess, clean, and quality-check large-scale image datasets.
• Set up model registry and automated deployment pipelines.
• Develop continuous training, testing, and deployment workflows.

Skills

Python programming

MLOps

Data pipelines

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science or Data Engineering

Tools

AWS (S3, EC2, SageMaker)

Docker

Kubernetes

MLflow

SageMaker Registry

CI/CD for ML

Job description

LUXEED Robotics B.V. is a Dutch startup delivering laser-based weed control. This remote, task-based role requires around 40 hours per week and offers compensation starting at €1,500/month.

You will design and maintain scalable data pipelines, manage data ingestion and labeling workflows, and collaborate with AI researchers to productionize models. Ideal candidates hold a CS/Data Eng degree and have strong AWS, Docker/Kubernetes and MLflow experience, with a focus on reproducible MLOps pipelines