When things don't go as planned, there's only a short window to make the right decision. Backed by an international team of engineers and data scientists, this company combines Machine Learning, Logistics, and Location Intelligence to power AI-driven simulations. These models improve efficiency, giving decision-makers the insights to act fast and effectively when it matters most. If you're ready to build AI that makes an impact, this is your chance.
How do they do it?
Great question! Their technology analyzes real-time data and predicts possible scenarios, helping teams plan the best response. In emergency response, AI helps ambulances position themselves strategically, using past incidents, traffic, and real-time conditions to reach patients faster. For roadside assistance and security, it predicts where breakdowns or incidents are likely, ensuring tow trucks, patrols, and service teams are in the right place at the right time, reducing delays and improving safety. In logistics, it calculates the fastest, most efficient routes by factoring in live traffic, weather, and demand, keeping deliveries on schedule.
Instead of relying on guesswork, organizations get real-time insights to make quick, informed decisions and send help exactly where it's needed. Now, they need your help to build and maintain the AI models and simulations that power this decision-making technology.
I want to help! What about the role?
You'll build and refine Python-based systems that run AI simulations to predict real-world scenarios and improve decision-making. If an ambulance service wants to cut response times, your models will analyze traffic, past incidents, and real-time conditions to suggest the best possible positioning.
By working with spatial data (Pandas) and machine learning models, you'll process large datasets and optimize routes, ensuring resources are used efficiently. You'll also handle customer-driven change requests, keeping the system up to date with their needs. As the platform grows, you'll focus on scaling and optimizing performance to meet increasing demand. Collaboration is key. You'll work closely with engineers, data scientists, and product teams to deliver high-quality, real-world solutions.
Can I do it?
Yes, because you know how to make Python work smarter, not harder, with at least five years of experience and a strong command of Pandas and spatial functions. Your code is functional, efficient, structured, and built to last, and you're comfortable with Git, CI/CD, and solid development practices. It's a big plus if you've worked with simulations, emergency response systems, logistics, or geospatial tools. Experience with large-scale dispatching systems or customer-driven development? Even better!
It's not a bad thing that you're passionate about technology. You like the idea of training AI to think ahead, always looking for ways to improve systems. Overall, you're a quick learner, adaptable, and focused on delivering results that make a real impact.
Good! And the salary?
Oke, we got you here! You can expect a salary between €60.000,- and €80.000,-, because good work deserves good pay. Of course, everything you need to do your job well is taken care of. You'll be part of a collaborative team where everyone's focused on building something great. So, is this your next opportunity? Apply now, and let's talk soon!
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