Their global footprint is growing massively and now they need a dedicated colleague to deploy and maintain stable ML pipelines. Currently they’re hiring for a Data Scientist with MLOps expertise for their office in the Utrecht Area

 

Your role:

 

• Build & optimize ML Pipelines that process continuous streams of sensor data tracking animal behaviour, health patterns, fertility cycles, and feeding habits to generate real-time alerts and predictive analytics for farmers.

 

• By automating workflows that refine and validate data from IoT ear sensors, You help Data Scientists improve early disease detection, breeding predictions, and nutritional monitoring with data decision-making.

 

• You will deploy real-time analytics that detect health issues 1-2 days before clinical symptoms. Ensuring farmers can take action before problems escalate reducing medical costs, stress on animals, and production losses.

 

• Implement Infrastructure-as-Code (IaC) solutions to scale AI deployments seamlessly, ensuring every farm whether 20 or 20,000 animals receives reliable, automated insights.

 

• Optimize scalability, monitoring, and automation across a growing global AI platform, allowing farms worldwide to seamlessly integrate machine learning insights into their daily routines for smarter, data-driven management.

 

What You’ll Need to Succeed:

 

• Python, Databricks, PySpark, and Structured Streaming
• Experience in MLOps & Cloud-Based ML Deployment (AWS/GCP/Azure).
• Infrastructure as Code for deployment.
• Ability to adapt and drive innovation.
• Passion for helping farmers globally thanks to AI, IoT, and sustainability-driven innovation.
• Knowledge of Dutch Language

 

What’s in it for you?

 

• Work on AI solutions that directly impact sustainability and global food security.
• Collaborate with a world-class team of Data Scientists and Engineers.
• Flexible work environment with remote options
• Possibility to learn and work with new technologies