Company: EURES
Country: Netherlands
Type: Onsite
Employment: Full-time
Description: AI, data and smart algorithms – that's what it's all about for you. As a Software Engineer Python / Machine Learning you build innovative applications that make organizations smarter, more sustainable and efficient. You translate complex datasets into concrete solutions with real impact.
What will you do?
You delve into the world of data and smart algorithms every day. Where others are still looking for connections, you see opportunities to make things smarter. With Python you build applications that not only work well, but also make a real difference. For example, you work on a model that predicts energy consumption, or on an AI tool that optimizes production processes. You translate complex data into solutions that help teams make better decisions.
Together with other developers, data scientists and engineers, you think about the best approach, experiment with new techniques and take existing systems to a higher level. This way you combine your love for code with the impact of real innovation.
Your work
Development and optimization of machine learning models (TensorFlow, PyTorch, scikit-learn).
Setting up data pipelines and APIs for AI integrations.
Building scalable back-end systems in Python.
Collaborating with data scientists and engineers on cutting-edge projects.
What do you have in mind? home?
HBO or WO working and thinking level in Computer Science, AI or a similar field. Radboud University is an advantage
At least 3 years of experience with Python in a professional environment.
Knowledge of frameworks such as TensorFlow, PyTorch or scikit-learn.
Experience with cloud environments (AWS, GCP, Azure) and CI/CD.
Affinity with data engineering or MLOps is an advantage.
Curious, eager to learn and always looking for improvement.
What do we offer? you
- A salary between €3150 and €4600
- 28 vacation days per year;
- Extensive green pension scheme;
- Follow free sessions via the well-being platform empowr;
- Training budget of €2000.-
- A personal Career Coach;
- Free share.
Apply here:
Web: Apply here
Emails:
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