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