MLOps & Data Infrastructure Engineer

LUXEED Robotics B.V. is a Dutch AgTech startup on a mission to make farming healthier and more sustainable. Using lasers and AI, we target weeds with surgical precision, no herbicides, no compromise.

As demand for chemical-free crops grows worldwide, we’re building technology that helps farmers grow more on the same land while protecting soil, water, and ecosystems. Backed by national and international recognition, we’re now scaling our R&D to bring this impact to the field.

What to Expect?
This is a remote, project-driven role where you’ll get the freedom to solve real-world robotics challenges while working with a passionate, international team. We expect around 40 hours per week, with occasional visits to the Netherlands for on-site testing. Starting compensation: €1,700/month (with growth potential as we scale).

If you’re excited about building technology that zaps weeds with lasers and redefines farming, we’d love to hear from you. Send us an email at hr@luxeedrobotics.com
with your CV and a short note on why you’re a fit (subject: Job Title - Your Name).

What You’ll Be Working On

Design, build, and maintain a scalable AWS-based pipeline for data ingestion, management, and processing.
Oversee the flow of data from collection devices → labeling vendors → AWS storage/database → training pipeline.
Implement data preprocessing, cleaning, validation, and quality control for large-scale image datasets.
Set up and maintain a model registry, version control for models, and automated deployment pipelines.
Develop and manage continuous training, testing, and deployment workflows without human intervention.
Manage server-side infrastructure for running neural networks, tracking metrics, and monitoring model performance.
Collaborate on the data labeling process to ensure data formatting, standards, and quality are maintained.
Work closely with AI researchers and engineers to integrate models into production devices and push software updates.
Ensure infrastructure reliability, security, and scalability.

What You Bring

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Proven experience with AWS cloud services (e.g., S3, EC2, SageMaker, Lambda, DynamoDB/RDS, CloudWatch).
Strong background in MLOps, data pipelines, and automated ML workflows.
Experience with Docker, Kubernetes, or other containerization/orchestration tools.
Proficiency in Python for building data processing and automation scripts.
Familiarity with model registry tools (e.g., MLflow, SageMaker Model Registry, or similar).
Experience with data preprocessing, cleaning, and quality assurance for ML datasets.
Knowledge of CI/CD pipelines for ML model deployment.
Strong problem-solving skills and ability to work in a fast-paced startup environment

WHY Join LUXEED?

Work at the intersection of robotics, AI, and sustainability.
Tackle challenges that push your skills forward every single day.
Collaborate with a passionate, international team.
Be part of a mission-driven startup shaping the future of farming.

Ready to build the future of farming with lasers, AI, and real-world impact? Then let’s talk, we’d love to hear from you!